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510(k) Data Aggregation

    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System; ACUSON Sequoia Select Diagnostic Ultrasound System; ACUSON

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia and Sequoia Select ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult and pediatric patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transrectal, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    The ACUSON Origin and Origin ICE ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Intracardiac, Vascular, Adult Cephalic, and Peripheral Vascular applications.

    The catheter is intended for intracardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology as well as visualization of other devices in the heart of adult and pediatric patients. The catheter is intended for imaging guidance only, not treatment delivery, during cardiac interventional percutaneous procedures.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, cardiac, peripheral vessel, and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia, Sequoia Select, Origin, and Origin ICE Diagnostic Ultrasound Systems (software version VC10) are multi-purpose, mobile, software-controlled, diagnostic ultrasound systems with an on-screen display of thermal and mechanical indices related to potential bio- effect mechanisms. The function of these ultrasound systems is to transmit, receive, process ultrasound echo data (distance and intensities information about body tissue) in various modes of operation and display it as ultrasound imaging, anatomical and quantitative measurements, calculations, analysis of the human body and fluid flow, etc. These ultrasound systems use a variety of transducers to provide imaging in all standard acquisition modes and also have comprehensive networking and DICOM capabilities.

    AI/ML Overview

    The provided FDA 510(k) clearance letter and summary discuss the ACUSON Sequoia, Sequoia Select, Origin, and Origin ICE Diagnostic Ultrasound Systems. This document indicates a submission for software feature enhancements and workflow improvements, including an "AI Measure and AI Assist workflow efficiency feature" and "Liver Elastography optimization."

    Here's an analysis of the acceptance criteria and the study information provided:

    Acceptance Criteria and Reported Device Performance

    The submission focuses on enhancements to existing cleared devices rather than a de novo AI device. Therefore, the "acceptance criteria" discussed are primarily related to the performance of the Liver Elastography optimization using phantom testing.

    Acceptance CriteriaReported Device Performance
    Liver Elastography Optimization: The system's performance in measuring stiffness within calibrated elasticity phantoms for pSWE, Auto pSWE, and 2D SWE modes must meet manufacturer's accuracy and variability criteria.The verification results for Liver Elastography optimization using calibrated elasticity phantoms met the acceptance criteria for accuracy and variability. Specific numerical values for accuracy and variability are not provided in this document.
    Software Feature Enhancements and Workflow Improvements (including AI Measure and AI Assist): The modifications should not raise new or different questions of safety and effectiveness, and the features should continue to meet their intended use."All pre-determined acceptance criteria were met." The document states that the modifications do not raise new or different questions of safety and effectiveness, and the devices continue to meet their intended use. Specific performance metrics for the AI Measure and AI Assist features themselves are not detailed as quantitative acceptance criteria in this document.
    General Device Safety and Effectiveness: Compliance with relevant medical device standards (e.g., IEC 60601 series, ISO 10993-1, IEC 62304, ISO 13485) and FDA guidance.The device complies with a comprehensive list of international and FDA standards, and non-clinical verification testing addressed system-level requirements, design specifications, and risk control measures.

    Study Details for Liver Elastography Optimization (SWE Performance Testing)

    The primary study mentioned in the document for performance evaluation is related to the Liver Elastography optimization.

    1. Sample Size Used for the Test Set and the Data Provenance:

      • Test Set: Calibrated elasticity phantoms. The specific number of phantoms used is not stated beyond "calibrated elasticity phantoms."
      • Data Provenance: Not explicitly stated, but implies laboratory testing using commercially available or manufacturer-certified phantoms. Transducers listed were DAX, 5C1, 9C2, 4V1, and 10L4.
    2. Number of Experts Used to Establish the Ground Truth for the Test Set and the Qualifications of those Experts:

      • Ground Truth Establishment: The ground truth for the test set (phantom stiffness) was established by the phantom manufacturer, as they were "calibrated elasticity phantoms certified by the phantom manufacturer."
      • Number/Qualifications of Experts: The document does not specify the number or qualifications of experts involved in the phantom's certification process or in the actual testing of the Siemens device. The testing appears to be objective, relying on the calibrated properties of the phantoms.
    3. Adjudication Method for the Test Set:

      • Adjudication Method: Not applicable. Phantom testing typically relies on quantitative measurements against known phantom properties, not human adjudication of results.
    4. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done:

      • MRMC Study: No, an MRMC comparative effectiveness study was not conducted according to this document. The submission focuses on technical enhancements and phantom validation for elastography, and system safety/effectiveness.
    5. If a Standalone (i.e., algorithm only without human-in-the-loop performance) was done:

      • Standalone Performance: The "SWE Performance Testing" with phantoms could be considered a form of standalone performance assessment as it evaluates the device's measurement capabilities against a known standard. However, the AI Measure and AI Assist features are described as "workflow efficiency features" where measurements are "automatically launched" after classification, implying an interaction with a human user rather than a fully standalone diagnostic output. No specific standalone performance metrics for the AI Measure/Assist components are provided.
    6. The Type of Ground Truth Used:

      • Ground Truth: For the elastography testing, the ground truth was the known stiffness values of the calibrated elasticity phantoms.
    7. The Sample Size for the Training Set:

      • Training Set Sample Size: The document does not provide information about a training set size for the AI Measure and AI Assist features or the elastography optimization. This type of 510(k) submission typically focuses on validation and verification of changes to an already cleared product, rather than detailing the initial development or training data for AI algorithms.
    8. How the Ground Truth for the Training Set Was Established:

      • Training Set Ground Truth: Not applicable, as information on a specific training set is not provided in this document.

    Summary regarding AI components:

    While the document mentions "AI Measure" and "AI Assist" as workflow efficiency features (e.g., launching relevant measurements after cardiac view classification), it does not provide detailed performance metrics, test set sizes, ground truth establishment, or clinical study information specifically for these AI components. The 510(k) emphasizes that these are "software feature enhancements and workflow improvements" that, along with other changes, do not raise new questions of safety and effectiveness, leading to substantial equivalence with the predicate device. The only detailed "performance testing" described is for the Liver Elastography optimization using phantoms. This suggests that the AI features themselves might have been validated through internal software verification and validation activities that are not detailed in this public summary, or their impact on diagnostic performance was considered incremental and not requiring specific clinical comparative studies for this particular submission.

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    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System; ACUSON Sequoia Select Diagnostic Ultrasound System; ACUSON

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    ACUSON Sequoia and Sequoia Select

    The ACUSON Sequoia and Sequoia Select ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult and pediatric patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    ACUSON Origin and Origin ICE

    The ACUSON Origin and Origin ICE ultrasound imaging systems are intended to provide images of. or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric. OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Intracardiac, Vascular, Adult Cephalic, and Peripheral Vascular applications.

    The catheter is intended for intracardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology as well as visualization of other devices in the heart of adult and pediatric patients. The catheter is intended for imaging guidance only, not treatment delivery, during cardiac interventional percutaneous procedures.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, cardiac, peripheral vessel, and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia, Sequoia Select, Origin and Origin ICE Diagnostic Ultrasound Systems are multi-purpose, mobile, software-controlled, diagnostic ultrasound systems with an on-screen display of thermal and mechanical indices related to potential bioeffect mechanisms. The ultrasound system function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging (except Origin), Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, Custom Tissue Imaging, 3D/4D Volume lmaging or Harmonic Imaging on a Display and provide cardiac anatomical and quantitative function software applications.

    AI/ML Overview

    This document describes the acceptance criteria and study that proves the device called ACUSON Sequoia Diagnostic Ultrasound System from Siemens Medical Solutions USA, Inc. meets the acceptance criteria.

    1. Table of Acceptance Criteria and Reported Device Performance

    The submission details two AI features: "AI Abdomen" and "Trace AI."

    AI Abdomen

    Feature/MetricAcceptance CriterionReported Device Performance
    View ClassificationNot explicitly stated as a numerical criterion, but the overall expectation is a high accuracy and usefulness. The summary indicates a focus on specific view types.Achieved a success rate of 77.8% for view classification when aggregated across all 17 view types. When eliminating CBD and pancreas sagittal from the aggregated results, the accuracy increased to 82.5%.
    Semi-automated MeasurementsIndividual Equivalence Coefficient (IEC) below a prespecified success criterion of 0.25. (This indicates that the algorithm's measurements are very close to the ground truth, likely meaning a low difference/high agreement).The IEC fell below the prespecified success criterion of 0.25 for all 12 measurements, with and without users editing the landmark locations.

    Trace AI

    Feature/MetricAcceptance CriterionReported Device Performance
    DICE Coefficient for Orifice-type StructuresThe 90th percentile shall have a minimum DICE coefficient of at least 80% with 90% confidence. (DICE coefficient is a measure of similarity between two images or segmentations, with 1 being perfect overlap and 0 being no overlap).The lower 90% confidence bound for the 90th percentile is 0.95, which is greater than the requirement of 0.8, therefore, the test passes.

    2. Sample Size Used for the Test Set and Data Provenance

    AI Abdomen:

    • Sample Size: 105 exams from individual patients, resulting in 1,785 images extracted (15 B-Mode images per view and per transducer).
    • Data Provenance: Retrospective, collected from 3 institutions in the United States.

    Trace AI:

    • Sample Size: 10 different adult patients, from which 24 volumes were extracted.
    • Data Provenance: Retrospective, collected from three institutions in the US, Mexico, and Germany.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    AI Abdomen:

    • Number of Experts: Three clinical users.
    • Qualifications: All registered Clinical Sonographers with ARDMS accreditation (or equivalent), each with at least 3 years of clinical experience.

    Trace AI:

    • Number of Experts: Three clinical users.
    • Qualifications: All registered Clinical Sonographers with ARDMS accreditation (or equivalent), each with at least 3 years of clinical experience.

    4. Adjudication Method for the Test Set

    AI Abdomen:

    • For view classification, the ground truth was associated with each image at the time of imaging using a system protocol, implying a single determination at the point of acquisition.
    • For semi-automated measurements, ground truth measurements were provided by three clinical users. The document does not explicitly describe an adjudication method (like 2+1 or 3+1 consensus) for these measurements, but the acceptance criterion of Individual Equivalence Coefficient (IEC) suggests a comparison of the algorithm's results against these expert measurements.

    Trace AI:

    • Ground truth measurements were provided by three clinical users. Each sonographer independently refined the initial circle provided by Trace AI to annotate the underlying orifice structure. They could only see their own annotations. The contour created by sonographers (Ground Truth) was then compared with the contour detected by Trace AI (Detection Truth). This implies a comparison against each expert's delineation, potentially implying an aggregation or statistical analysis of agreement rather than a formal consensus adjudication before comparison with the AI.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • No MRMC comparative effectiveness study was explicitly mentioned in the provided text, and therefore, no effect size of human readers' improvement with AI vs. without AI assistance can be determined from this information. The studies described are performance evaluations of the AI algorithms themselves against ground truth.

    6. Standalone (Algorithm Only) Performance Study

    • Yes, the studies described for both "AI Abdomen" and "Trace AI" are standalone performance evaluations of the algorithms. They assess the algorithms' accuracy in view classification, semi-automated measurements, and segmentation (DICE coefficient) against established ground truth without a human-in-the-loop component for the performance measurement. The "AI Abdomen" notes testing "with and without users editing the landmark locations" for measurements, implying that the algorithm's initial measurement (standalone) was evaluated. "Trace AI" describes experts refining initial circles given by Trace AI, and then comparing the expert-refined contour to the contour detected by Trace AI algorithm, further confirming a standalone evaluation of the algorithm's output.

    7. Type of Ground Truth Used

    AI Abdomen:

    • View Classification: Ground truth view labels were associated with each image at the time of imaging using a system protocol. This suggests a form of expert labeling or pre-categorization at the point of data capture.
    • Semi-automated Measurements: Expert consensus (or at least independent expert measurements) provided by three registered Clinical Sonographers.

    Trace AI:

    • Expert consensus/independent expert annotations: Ground truth measurements (delineations of orifice structures) were provided by three registered Clinical Sonographers independently.

    8. Sample Size for the Training Set

    • The document does not explicitly state the sample size for the training set for either AI Abdomen or Trace AI. It only focuses on the test set and ensures its independence from the training data.

    9. How the Ground Truth for the Training Set Was Established

    • The document does not explicitly state how the ground truth for the training set was established. It only mentions that the testing dataset was from different clinical sites than those used for training, to ensure independence.
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    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System, ACUSON Sequoia Select Diagnostic Ultrasound System, ACUSON

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    ACUSON Sequoia and Sequoia Select

    The ACUSON Sequoia and Sequoia Select ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult and pediatric patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    ACUSON Origin and Origin ICE

    The ACUSON Origin and Origin ICE ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Abdominal, Pediatric, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures). Cardiac, Transesophageal, Intracardiac, Vascular, Adult Cephalic, and Peripheral Vascular applications.

    The catheter is intended for intracardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology as well as visualization of other devices in the heart of adult and pediatric patients. The catheter is intended for imaging guidance only, not treatment delivery, during cardiac interventional percutaneous procedures.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, cardiac, peripheral vessel, and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia, Sequoia Select, Origin and Origin ICE Diagnostic Ultrasound Systems are multi-purpose, mobile, software-controlled, diagnostic ultrasound systems with an on-screen display of thermal and mechanical indices related to potential bioeffect mechanisms. The ultrasound system function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging (except Origin), Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging or Harmonic Imaging on a Display and provide cardiac anatomical and quantitative function software applications.

    AI/ML Overview

    Here's a summary of the acceptance criteria and the study proving the device meets them, based on the provided text, specifically for the expansion of the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to pediatrics:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance CriteriaReported Device Performance
    Clinical Accuracy: AUROC > 0.80 for correlation with MRI-PDFFAUROC ≥ 0.87
    Clinical Reliability: Test-retest Intraclass Correlation Coefficient (ICC) > 0.75ICC ≥ 0.97
    Exam Time: Under 60 secondsExam time less than 60 seconds

    2. Sample Size Used for the Test Set and Data Provenance

    • Number of individual patients: 105 patients.
      • 40 patients scanned with the DAX transducer.
      • 27 patients with the 5C1 transducer.
      • 38 patients with the 9C2 transducer.
    • Number of samples: 525 measurements (Five UDFF measurements were obtained per patient).
    • Data Provenance: Data were collected from two institutions in the US and France. The studies tested UDFF in children during clinically indicated MRI procedures.

    3. Number of Experts Used to Establish Ground Truth and Qualifications

    The document does not explicitly state the number of experts used to establish ground truth or their specific qualifications (e.g., radiologist with X years of experience). It only states that "MRI PDFF was used as the reference standard." The interpretation and establishment of ground truth from MRI-PDFF would typically involve qualified medical professionals, but this detail is not provided.

    4. Adjudication Method for the Test Set

    The document does not specify an adjudication method like 2+1 or 3+1. The reference standard used was MRI-PDFF, which is a quantitative measure and therefore may not have required such an adjudication process.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study directly comparing human readers with and without AI assistance was not reported. The study focused on the performance of the UDFF tool itself against a reference standard.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    Yes, the testing described appears to be for the standalone performance of the UDFF algorithm. The criteria and results focus on the measurements generated by the UDFF tool (AUROC, ICC, exam time) in comparison to the MRI-PDFF reference standard. While the tool is intended to "aid a physician," the performance metrics presented demonstrate the algorithm's capability independent of direct human interaction in the evaluation setup.

    7. The Type of Ground Truth Used

    The ground truth used was MRI-PDFF (Magnetic Resonance Imaging Proton Density Fat Fraction). Steatosis was defined as MRI-PDFF greater than 5%.

    8. The Sample Size for the Training Set

    The document explicitly states that the UDFF algorithm remained unchanged and was not retrained for these studies. Therefore, no specific training set sample size for this expansion is provided, as the existing algorithm developed for adults was applied to the pediatric population.

    9. How the Ground Truth for the Training Set Was Established

    Since the UDFF algorithm was not retrained and remained unchanged, the document does not describe how the ground truth for its original training set was established. It only clarifies that the data from these pediatric studies were considered "test data to evaluate the performance of UDFF in children using MRI PDFF."

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    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System, ACUSON Sequoia Select Diagnostic Ultrasound System, ACUSON

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    ACUSON Sequoia and ACUSON Sequoia Select

    The ACUSON Sequoia and Sequoia Select ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic, structures), Cardiac, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transrectal, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    ACUSON Origin

    The ACUSON Origin ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Abdominal, Pediatric, OB/ GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Intracardiac, Vascular, Adult Cephalic, and Peripheral Vascular applications.

    The catheter is intended for intracardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology as well as visualization of other devices in the heart of adult and pediatric patients. The catheter is intended for imaging guidance only, not treatment delivery, during cardiac interventional percutaneous procedures.

    Device Description

    The ACUSON Sequoia, Sequoia Select, and Origin Diagnostic Ultrasound Systems are multi-purpose, mobile, software-controlled, diagnostic ultrasound systems with an onscreen display of thermal and mechanical indices related to potential bio-effect mechanisms. The ultrasound system function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes. Panoramic Imaging. Contrast agent Imaging. Virtual Touch Strain Imaging (except Origin), Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging or Harmonic Imaging on a Display and provide cardiac anatomical and quantitative function software applications.

    AI/ML Overview

    The provided FDA 510(k) summary describes the Siemens ACUSON Sequoia, ACUSON Sequoia Select, and ACUSON Origin Diagnostic Ultrasound Systems, focusing on new software applications (AI Measure, AI Assist, 2D HeartAI, 4D HeartAI) that incorporate Machine Learning algorithms for cardiac imaging.

    The document includes summaries of validation testing for each of these AI features.

    1. Table of Acceptance Criteria and Reported Device Performance

    AI FeatureAcceptance Criteria / Performance MetricReported Device Performance
    AI AssistOverall Success Rate: Percentage of placements requiring no adjustment or only minor adjustment by the user.99.3% overall successful placement across all cardiac views and placement locations. For any single placement location, success is 92% or higher.
    2D HeartAIPearson Correlation Coefficient: With user edits compared to reference standard ground truth.0.81 or higher
    Bland-Altman Bias: With user edits compared to reference standard ground truth.less than 5.2 (minimal bias)
    Performance for Normal BMI subjects ( 25 kg/m2): Pearson Correlation Coefficient.greater than 0.82
    4D HeartAIPearson Correlation Coefficient: With user edits compared to reference standard ground truth.0.87 or higher
    Bland-Altman Bias: With user edits compared to reference standard ground truth.less than 13.3 (minimal bias)
    Performance for Normal BMI subjects ( 25 kg/m2): Pearson Correlation Coefficient.greater than 0.81
    AI MeasureOverall Success Rate: Percentage of measurements deemed clinically acceptable (Pass or Pass with/Edit).89.6% overall successful performance. For any single acquisition mode, success is 88.1% or higher.

    2. Sample Sizes Used for the Test Set and Data Provenance

    AI FeatureTest Set Sample Size (Patients/Exams/Samples)Data Provenance
    AI Assist12 patients; 14 exams (12 patients, with 2 having additional data); 168 samples (16 frames x 12 cardiac views x 14 exams).US; Retrospective (collected by a cardiac sonographer who scanned 12 cardiac views included in an Adult Echocardiogram examination).
    2D HeartAI45 exams; 90 images extracted.US, Mexico; From 5 different institutions; Retrospective.
    4D HeartAI32 patients; 64 volumes extracted.US, Mexico; From 5 different institutions; Retrospective (for 5Z1 (17 TTE) and 6ZT (15 TEE) transducers, with Volume rates > 13.4vps).
    AI Measure32 individual patients; 1354 samples (from 392 images).US, Mexico; From 5 institutions; Retrospective (the dataset consists of exams from across five institutions, five probes (5V1, 5Z1, 8V3, 10V4, Z6T) and different Sequoia CV Systems. The data collection protocol was standardized across all data collection sites).

    3. Number of Experts and Qualifications for Ground Truth

    AI FeatureNumber of ExpertsQualifications
    AI Assist3 sonographersExpert cardiac sonographers (implied by context).
    2D HeartAI3 examiners"Examiners" performed all manual contouring and measurements. No specific years of experience mentioned, but expertise is implied for establishing reference standard.
    4D HeartAI3 examiners"Examiners" performed all manual contouring and measurements. No specific years of experience mentioned, but expertise is implied for establishing reference standard.
    AI MeasureAt least 3 sonographersExpert cardiac sonographers (implied by context).

    4. Adjudication Method for the Test Set

    AI FeatureAdjudication Method
    AI AssistConsensus-based scoring: Three sonographers scored the results for each placement made by the algorithm. Success was defined as "no adjustment or minor adjustment needed," while "failure" meant a "major adjustment needed." This implies a form of expert consensus without explicit mention of conflict resolution, but rather individual scoring that collectively determined the success rate.
    2D HeartAIMean value from multiple examiners: Three examiners performed all manual contouring and measurements. Reference standard for each measurement was established by calculating the mean value from the three examiners. Variability was assessed by intraclass correlation (ICC) and inter-reader variability by Pearson correlation and Bland-Altman. This is a form of 3-expert consensus by averaging.
    4D HeartAIMean value from multiple examiners: Identical to 2D HeartAI. Three examiners performed all manual contouring and measurements. Reference standard for each measurement was established by calculating the mean value from the three examiners. Variability was assessed by intraclass correlation (ICC) and inter-reader variability by Pearson correlation and Bland-Altman. This is a form of 3-expert consensus by averaging.
    AI MeasureConsensus-based scoring: At least three sonographers scored the results for each measurement made by the algorithm to assess success ("measurements were deemed clinically acceptable"). Similar to AI Assist, this implies a form of expert consensus without explicit mention of conflict resolution.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    The document does not describe a multi-reader multi-case (MRMC) comparative effectiveness study to measure the effect size of human readers improving with AI vs. without AI assistance. The studies performed focus on the standalone performance of the AI algorithms, often with user edits being factored in, but not a direct comparison of human performance with and without AI.

    6. Standalone Performance Study

    Yes, standalone performance studies were done for each AI feature:

    • AI Assist: Evaluated the algorithm's ability to successfully place Color Box and Doppler Gate based on expert sonographer scoring of its output (99.3% success). This is a standalone assessment of the algorithm's initial placement accuracy.
    • 2D HeartAI: Evaluated the accuracy of the 2D HeartAI "as measured by comparison of 2D HeartAI with user edits compared to a reference standard ground truth." While user edits are mentioned, the reported correlation coefficient and bias (0.81 or higher, bias
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    K Number
    K223735
    Date Cleared
    2023-02-06

    (55 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System, ACUSON Sequoia Select Diagnostic Ultrasound System

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia and Sequoia Select ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Pelvic, Vascular, Musculosketal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transrectal, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia and Sequoia Select Diagnostic Ultrasound Systems are a multi-purpose mobile, software controlled, diagnostic ultrasound system with an on-screen display of thermal and mechanical indices related to potential bio-effect mechanisms. Its function is to transmit and receive ultrasound echo data and display it in B-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging, Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, syngo Velocity Vector Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging and Harmonic Imaging on a Display.

    AI/ML Overview

    The provided text is a 510(k) summary for the Siemens ACUSON Sequoia and Sequoia Select Diagnostic Ultrasound Systems. It primarily focuses on demonstrating substantial equivalence to a predicate device rather than detailing specific acceptance criteria and a study proving the device meets those criteria, especially for new or AI-driven features.

    The most relevant section about specific performance is regarding the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool, which is described as reporting "an index that can be useful as an aid to a physician managing adult patients with hepatic steatosis" (Page 3, Page 6). The document states that the modified ACUSON Sequoia Ultrasound System includes "the expansion of the UDFF (Ultrasonically-Derived fat fraction) software features for 5C1 transducer which were already cleared on the ACUSON Sequoia (K221500)" (Page 7). This implies that the UDFF feature itself was previously cleared.

    However, the 510(k) submission does not provide details about acceptance criteria or a study proving the device meets these criteria for the UDFF feature or any other feature in the format requested. In fact, it explicitly states:

    "Since the ACUSON Sequoia and Sequoia Select Diagnostic Ultrasound Systems use the same technology and principles as existing devices, clinical studies were not required to support substantial equivalence." (Page 10)

    This statement indicates that their substantial equivalence argument relies on the technological similarity to existing cleared devices, and thus a detailed clinical performance study (including acceptance criteria, sample sizes, expert ground truth, etc.) was not performed for this specific 510(k) submission.

    Therefore, I cannot extract the requested information from the provided text. The document is a regulatory submission for a diagnostic ultrasound system based on substantial equivalence, not a clinical study report for a novel AI/software feature with detailed performance metrics.

    To directly answer your request based on the provided text, many fields will be "Not Applicable" or "Not Provided."

    Here's how the information would map to your request if it were available in the document:


    Acceptance Criteria and Device Performance Study for Siemens ACUSON Sequoia and Sequoia Select Diagnostic Ultrasound Systems (as per provided document)

    Given the nature of the provided 510(k) summary, which relies on substantial equivalence and states that clinical studies were not required, many of the requested details are not present.

    1. A table of acceptance criteria and the reported device performance

      Feature/CriterionAcceptance Criteria (if stated)Reported Device Performance (if stated)
      Ultrasonically-Derived Fat Fraction (UDFF) measurement toolNot provided in this document"an index that can be useful as an aid to a physician managing adult patients with hepatic steatosis" (indicative only, no quantitative performance reported)
      General Device PerformanceNot provided in this documentRelies on substantial equivalence to predicate device (K221500)
      Overall ConclusionNot provided for specific features in a quantitative manner, as clinical studies were not required for this submission.Not provided for specific features in a quantitative manner, as clinical studies were not required for this submission.
    2. Sample sizes used for the test set and the data provenance

      • Test Set Sample Size: Not applicable / Not provided, as clinical studies were not required for this 510(k) based on substantial equivalence.
      • Data Provenance: Not applicable / Not provided.
    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

      • Not applicable / Not provided, as clinical studies were not required for this 510(k) based on substantial equivalence.
    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

      • Not applicable / Not provided, as clinical studies were not required for this 510(k) based on substantial equivalence.
    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

      • No MRMC study was performed or reported in this document. The submission states, "clinical studies were not required to support substantial equivalence."
    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

      • No standalone performance study reported in this document. The submission states, "clinical studies were not required to support substantial equivalence."
    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

      • Not applicable / Not provided, as clinical studies were not required for this 510(k) based on substantial equivalence.
    8. The sample size for the training set

      • Not applicable / Not provided. This document does not describe the development or training of an AI algorithm; rather, it describes a diagnostic ultrasound system relying on existing technology and a predicate device. The UDFF is a "software feature" that was "already cleared" on a previous device.
    9. How the ground truth for the training set was established

      • Not applicable / Not provided, for the same reasons as above. The document does not detail the training of any new AI/software feature unique to this submission.
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    K Number
    K221500
    Date Cleared
    2022-06-14

    (22 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal. Abdominal. Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transrectal, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia Diagnostic Ultrasound System is a multi-purpose mobile, software controlled, diagnostic ultrasound system with an on-screen display of thermal and mechanical indices related to potential bio-effect mechanisms. Its function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging, Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, syngo Velocity Vector Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging and Harmonic Imaging on a Display.

    AI/ML Overview

    The provided text does not contain detailed acceptance criteria or a study proving that the device meets specific performance criteria through a rigorous clinical or standalone study. Instead, it is a 510(k) summary for a medical device (ACUSON Sequoia Diagnostic Ultrasound System) seeking substantial equivalence to previously cleared predicate devices.

    The document primarily focuses on demonstrating that the new device shares the same intended use and technological characteristics as the predicate devices, with minor modifications (like new transducers and software features that were already cleared for other transducers/devices).

    Therefore, I cannot extract the requested information (like a table of acceptance criteria, sample size for test/training sets, number of experts for ground truth, adjudication method, MRMC study results, or detailed standalone performance) because the document explicitly states:

    • "Since the ACUSON Sequoia Diagnostic Ultrasound System uses the same technology and principles as existing devices, clinical studies were not required to support substantial equivalence." (Section 8)

    This means the submission relies on the established safety and effectiveness of the predicate devices and general compliance with performance and safety standards, rather than new performance studies with specific acceptance criteria.

    The information closest to what you requested, but not a direct answer, is the list of features where the submission device and its predicate are compared (Table in Section 6). This table shows that features are present (marked with '√') but does not specify quantitative acceptance criteria or performance metrics for those features.

    If this were a submission for an AI/ML-driven device requiring performance validation, the content would be significantly different and would include the types of studies and criteria you've listed. As it stands, this is a traditional 510(k) for an ultrasound system primarily focused on demonstrating substantial equivalence to prior versions.

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    K Number
    K211859
    Date Cleared
    2021-07-20

    (34 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal. Abdominal. Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult patients with hepatic steatosis.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transrectal, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia Diagnostic Ultrasound System is a multi-purpose mobile, software controlled, diagnostic ultrasound system with an on-screen display of thermal and mechanical indices related to potential bio-effect mechanisms. Its function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode. Color Doppler Mode. Color M Mode. Doppler Tissue Mode. Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging, Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, syngo Velocity Vector Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging and Harmonic Imaging on a Display.

    AI/ML Overview

    Theprovided text primarily focuses on the FDA's substantial equivalence determination for the ACUSON Sequoia Diagnostic Ultrasound System, explaining that clinical studies were not required as the device uses the same technology and principles as existing devices. Therefore, the document does not contain the information requested regarding acceptance criteria and a study proving the device meets them, in the typical sense of a clinical performance study.

    However, I can extract the information provided about the device's characteristics and the non-clinical tests relied upon for substantial equivalence.

    Here's a breakdown of the available information in relation to your request, highlighting what is not present:

    1. A table of acceptance criteria and the reported device performance:

    This information is not provided in a clinical performance context. The document states that clinical studies were not required for substantial equivalence. The "acceptance criteria" here relate to compliance with regulatory standards and equivalency to predicate devices.

    Acceptance Criteria (Implied for Substantial Equivalence and Safety)Reported Device Performance (as stated in the document)
    Conformance to applicable medical device safety standardsDevice has been evaluated for acoustic output, biocompatibility, cleaning and disinfection effectiveness, thermal, electromagnetic, and mechanical safety, and conforms to applicable medical device safety standards.
    Compliance with specific voluntary standardsComplies with:
    • IEC 62359: Edition 2.1 2017-09
    • AAMI ES60601-1:2005/(R)2012 and A1:2012, C1:2009/(R)2012 and A2:2010/(R)2012
    • IEC 60601-1:2005
    • IEC 60601-1-2 Edition 4.0 2014-02
    • IEC 60601-2-18: Edition 3.0 2009-08
    • IEC 60601-2-37 Edition 2.1 2015
    • ISO 10993-1 Edition 2.1 2017-09 |
      | Substantial Equivalence to predicate devices in intended use and technological characteristics | The ACUSON Sequoia Diagnostic Ultrasound System is substantially equivalent to ACUSON Sequoia (K201462) and ACUSON S family (K183575) regarding intended use and technological characteristics. |
      | Inclusion of new or improved features | Updated indications for use to add UDFF (Ultrasonically-Derived Fat Fraction), Auto pSWE, Auto IMT, eSieDoppler, Virtual Workstation, and Image Rotate (features previously cleared on predicate/reference devices). |
      | Design and development process conforms to quality system regulations | Conforms to 21 CFR 820 Quality System Regulation and ISO 13485:2016 quality system standards. |

    Regarding a clinical study proving device meets acceptance criteria:

    The document explicitly states: "Since the ACUSON Sequoia Diagnostic Ultrasound System uses the same technology and principles as existing devices, clinical studies were not required to support substantial equivalence." (Page 9)

    Therefore, the following information points are not applicable or not available from the provided text for a clinical performance study:

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective):
    Not applicable, as no clinical performance study was conducted.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience):
    Not applicable, as no clinical performance study was conducted.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:
    Not applicable, as no clinical performance study was conducted.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:
    Not applicable, as no clinical performance study was conducted. The document doesn't mention AI assistance in this context, only new features.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:
    Not applicable, as no clinical performance study was conducted.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc):
    Not applicable, as no clinical performance study was conducted.

    8. The sample size for the training set:
    Not applicable, as no clinical performance study was conducted using a training set in the context of a new algorithm requiring performance evaluation.

    9. How the ground truth for the training set was established:
    Not applicable, as no clinical performance study was conducted using a training set.

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    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System, ACUSON SC2000 Diagnostic Ultrasound System, ACUSON Freestyle

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Pelvic, Vascular, Musculoskeletal and Peripheral Vascular applications.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transrectal, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    The SC2000 ultrasound imaging system is intended for the following applications: Cardiac, Neo-natal and Fetal Cardiac, Pediatric, Transesophageal, Adult Cephalic, Peripheral Vessel, Abdominal, Intraoperative Abdominal, Musculo-skeletal Conventional, and Musculo-skeletal Superficial applications. The system also provides the ability to measure anatomical structures and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    The typical examinations performed using the SC2000 Ultrasound System are: Cardiac Imaging Applications and Analysis, Vascular Imaging Applications and Analysis, Superficial Imaging Applications, Intraoperative Imaging Applications, Transcranial Imaging Applications.

    The ACUSON Freestyle Ultrasound System is intended for diagnostic imaging or fluid flow analysis of the human body performed by an appropriately wained healthcare professional in a healthcare setting for the following conditions: Abdominal, Pediatric, Small Organ, Peripheral Vessel, Musculoskeletal (Conventional), Musculoskeletal (Superficial).

    The ultrasound imaging systems are intended for the following applications: Fetal. Abdominal. Intraoperative, Pediatric. Small Parts, Transcranial, OB/GYN (including monitoring of the ovarian follicle development), Cardiac. Pelvic, Neonatal/Adult Cephalic, Vascular, Musculoskeletal, Superficial Musculoskeletal, and Peripheral Vascular applications.

    The system also provides the ability to measure anatomical structures {fetal, abdominal, intraoperative, small organ, neonatal cephalic, adult cephalic, trans-esophageal, transvaginal, peripheral vessel, musculoskeletal (conventional), musculo-skeletal (superficial) and neonatal cardiac} and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    The Arterial Health Package (AHP) software provides the physician with the capability to measure Intima Media Thickness and the option to reference normative tables that have been validated and published in peer-reviewed studies. The information is intended to provide the physician with an easily understood tool for communicating with patients regarding state of their cardiovascular system. This feature should be utilized according to the "ASE Consensus Statement: Use of Carotid Ultrasound to Identify Subclinical Vascular Disease and Evaluate Cardiovascular Disease Risk: A Consensus Statement from the American Association of Echocardiography; Carotid Intima-Media Thickness Task Force, Endorsed by the Society for Vascular Imaging".

    The ACUSON AcuNav Ultrasound Catheter is intended for intra-cardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology, as well as visualization of other devices in the heart of adult and pediatric patients.

    The ACUSON P200 ultrasound imaging system is intended for the following applications: Fetal, Abdominal, Pediatric, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus, and other pelvic structures), Adult, Pediatric and Neonatal Cardiac, Pelvic, Neonatal Cephalic, Musculoskeletal, Superficial Musculoskeletal, and Peripheral Vascular applications.

    The system also provides the ability to measure anatomical structures; fetal, abdominal, pediatric, small organ, neonatal cephalic, cardiac (adult, pediatric and neonatal), trans-esophageal, transrectal, transvaginal, peripheral vessel, musculoskeletal (conventional), musculosketal (superficial) and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    The ACUSON P500 ultrasound imaging system is intended for the following applications: Fetal, Abdominal (including live), Pediatric, Small Parts, Transcranial, OB/GYN(useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Pelvic. Neonatal, Cardiac, Vascular(including Peripheral Vessel), Musculoskeletal, Superficial Musculoskeletal, and Urology applications.

    The system also provides the ability to measure anatomical structures fetal, abdominal, small organ, transrectal, transvaginal, cardiovascular, peripheral vessel, musculoskeletal (conventional), and musculoskeletal (superficial) and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    The Arterial Health Package (AHP) software provides the physician with the capability to measure Intima Media Thickness and the option to reference normative tables that have been validated in peer-reviewed studies. The information is intended to provide the physician with an easily understood tool for communicating with patients regarding state of their cardiovascular system.

    This feature should be utilized according to the "ASE Consensus Statement; Use of Carotid Ultrasound to Identify Subclinical Vascular Disease and Evaluate Cardiovascular Disease Risk: A Consensus Statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Imaging."

    The ACUSON Acunav Ultrasound Catheter is intended for intra-cardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology, as well as visualization of other of adult and pediatric patients.

    For ACUSON NX3: The ACUSON NX3 ultrasound imaging system is intended for the following applications: Fetal Abdominal (including liver), Pediatric, Small Parts (Small Organ), Neonatal Cephalic, Transcranial, OB/GYN, Pelvic, Neonatal, Cardiac, Vascular (including Peripheral Vessel), Musculoskeletal and Urology applications. The systems also provide for the measurement of anatomical structures and for analysis packages that provide information that is used for clinical diagnosis purposes.

    For ACUSON NX3 Elite: The ACUSON NX3 Elite ultrasound imaging system is intended for the following applications: Fetal, Abdominal (including liver, intra-operative), Pediatric, Small Parts (Small Organ including intra-operative), Neonatal Cephalic, Adult Cephalic, Transcranial, OB/GYN, Pelvic, Neonatal, Cardiac(including Transesophageal), Vascular (including Peripheral Vessel, intra-operative), Musculoskeletal, Superficial Musculoskeletal and Urology applications. The systems also provide for the measurement of anatomical structures and for analysis packages that provide information that is used for clinical diagnosis purposes.

    The Arterial Health Package (AHP) software provides the physician with the capability to measure Intima Media Thickness and the option to reference normative tables that have been validated and published in peer-reviewed studies. The information is intended to provide the physician with an easily understood tool for communicating with patients regarding state of their cardiovascular system.

    Note: This feature should be utilized according to the "ASE Consensus Statement; Use of Carotid Ultrasound to Identify Subclinical Vascular Disease and Evaluate Cardiovascular Disease Risk: A Consensus Statement from the American Society of Echocardiography; Carotid Intima-Media Thickness Task Force, Endorsed by the Society for Vascular Medicine."

    Device Description

    The ACUSON Sequoia Diagnostic Ultrasound System is a multi-purpose mobile, software controlled, diagnostic ultrasound system with an on-screen display of thermal and mechanical indices related to potential bio-effect mechanisms. Its function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging, Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, syngo Velocity Vector Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging and Harmonic Imaging on a Display.

    All of the transducers and the catheter-based transducers will follow Track 3 acoustic labeling (AIUM 1004, IEC 2007, AIUM/NEMA 2004a) and remain unchanged from the currently cleared ACUSON systems.

    Note: Some ACUSON Diagnostic Ultrasound configurations of components, accessories and/or software may vary from device brands and within device families. There are no modifications, additions or labeling changes to components, accessories and/or software for each device indicated.

    The ACUSON Diagnostic Ultrasound systems are intended to be used by trained medical professionals at various locations where patient care, evaluation, monitoring or research is performed.

    AI/ML Overview

    The provided document is a 510(k) Pre-market Notification for several Siemens ACUSON Diagnostic Ultrasound Systems, seeking clearance based on substantial equivalence to previously marketed devices. The document explicitly states that no new features, modifications, or changes were made to the hardware or software of the devices themselves. The entire submission focuses on an "expanded labeling" for lung ultrasound imaging, supported by existing clinical literature.

    Therefore, the acceptance criteria and the study proving the device meets these criteria are not related to a new device or a new AI/algorithm feature being validated. Instead, it is about demonstrating that the existing, cleared devices can be marketed with expanded indications for use, supported by references to previously conducted tests and existing clinical literature.

    Given this, I cannot provide information on:

    • Reported device performance (as no new performance was claimed or tested)
    • Sample size used for the test set or data provenance
    • Number of experts used to establish ground truth or their qualifications
    • Adjudication method
    • MRMC comparative effectiveness study or effect size
    • Standalone algorithm performance
    • Sample size for training set or how ground truth for training set was established

    The document explicitly states: "clinical studies were not required to support substantial equivalence. The expanded Labeling for Lung Ultrasound imaging (LUS) is supported by clinical literature." and "There are no software or hardware modifications to any device under this review and the expanded labeling has no impact on the individual ACUSON ultrasound device, therefore, testing results are not included in this Special 510(k) submission."

    Below is a table summarizing the acceptance criteria and "device performance" in the context of this 510(k) submission, emphasizing that the "performance" here refers to the device meeting the previously established safety and effectiveness for its predicate indications, which is being extended to a new recognized clinical use case via labeling.


    Description of Acceptance Criteria and Evidence for ACUSON Diagnostic Ultrasound Systems (K202683)

    This 510(k) submission (K202683) by Siemens Medical Solutions, USA, Inc., is a Special 510(k). This type of submission is used when changes to a cleared device do not alter its fundamental scientific technology or intended use, but may expand its labeling or functionality within its established safety and effectiveness profile. In this specific case, the submission focuses on expanded labeling for Lung Ultrasound Imaging (LUS), utilizing the existing capabilities of the cleared ACUSON Diagnostic Ultrasound Systems and their associated transducers.

    Crucially, the document states that no modifications were made to the software or hardware of the devices. Therefore, the "acceptance criteria" and "proof" are based on demonstrating substantial equivalence to previously cleared predicate devices and leveraging existing validation data for those predicates, rather than presenting new performance metrics for a novel algorithm or device.

    1. Acceptance Criteria and Reported Device "Performance" (Meeting Substantial Equivalence)

    Acceptance Criteria (from 510(k) perspective)Reported Device "Performance" / Justification for Meeting Criteria
    Identical Intended Use/Indications for Use: The devices, with expanded labeling, align with the fundamental intended use of previously cleared predicate devices.The Indications for Use statements for all listed ACUSON systems (Sequoia, SC2000, Freestyle, S1000/S2000/S3000, P200, P500, NX3/NX3 Elite) are presented as identical to their respective primary predicate devices, with the exception of the added use case for lung imaging explicitly mentioned in the "Indications for Use" section descriptions (e.g., "Abdominal (including liver, intra-operative)" for NX3 Elite). The core functionality and diagnostic purpose remain the same. The submission argues that lung ultrasound imaging falls within the scope of general diagnostic ultrasound.
    Identical Technological Characteristics: The device hardware, software, and operating principles are unchanged from their predicate versions, ensuring safety and effectiveness.The document explicitly states: "the subject devices are substantially equivalent to the cleared primary predicate devices and employs the same fundamental scientific technology and intended use/indications for use."

    Detailed comparison tables (Table 2 in the original document, not fully reproduced here due to length) consistently list "Identical" for all compared technological characteristics: Reusability, Duration of Use, Scientific Technology, Operating Principles, Type of Previously Cleared Transducers, Acoustic Outputs, Previously Cleared Imaging Modes, and Biocompatibility (ISO 10993-1). |
    | Safety and Effectiveness: There are no new safety or effectiveness concerns introduced by the expanded labeling. | - Software Verification and Validation: The CRS (Customer Requirement Specifications) for each device were verified/validated during original development. No software/hardware modifications for this submission.

    • Standards Compliance: Conforms to IEC 62304, IEC 62366-1, NEMA PS 3.1 - 3.20 (DICOM).
    • Risk Management: Risk analysis (ISO 14971:2007) was performed on predicate devices, and mitigation controls were implemented. The expanded labeling does not impact these.
    • Cybersecurity: Cybersecurity measures are addressed and conform to requirements to prevent unauthorized access, modification, misuse, or denial of use.
    • Clinical Literature Support: The expanded labeling for Lung Ultrasound Imaging (LUS) is supported by clinical literature, indicating that the use of ultrasound for lung imaging is an established and safe practice. Clinical studies were not required for this 510(k) as the technology and operating principles are unchanged. |

    2. Sample Size and Data Provenance for Test Set

    • Test Set Description: Not applicable. For this Special 510(k), no new test set data for device performance was generated or presented. The submission relies on existing validation data for the predicate devices.
    • Data Provenance: The underlying data for previously cleared predicate devices would have been generated through rigorous internal testing and validation processes during their initial development and clearance. The document implies that this data exists and supports the current device. The document explicitly states: "Non-clinical Testing has been conducted during product development for each of the predicate ACUSON Diagnostic Ultrasound device described in this submission."

    3. Number, Qualifications, and Adjudication Method for Experts

    • No new expert assessment: Not applicable for this Special 510(k). Since no new AI/algorithm features or changes to device performance were introduced, there was no independent expert review of a new test set for the purpose of this submission. The "ground truth" for the expanded labeling (Lung Ultrasound) is based on established clinical recognition and existing peer-reviewed literature.
    • Adjudication method: Not applicable.

    4. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • No new MRMC study: Not applicable. This submission does not involve a new AI or algorithm that would require an MRMC study to demonstrate human improvement with AI assistance.

    5. Standalone (Algorithm Only) Performance Study

    • No standalone algorithm: Not applicable. The submission is for diagnostic ultrasound systems, not a standalone algorithm. The core functionality is the ultrasound imaging, and the "expansion" is in the labeling for an existing modality.

    6. Type of Ground Truth Used for Device Functions

    • Existing Validated Performance: For the predicate devices, the ground truth and validation would have been established through a combination of:
      • Direct measurement and engineering specifications: For image quality, acoustic output, and system performance.
      • Clinical validation: Through various means including phantom studies, retrospective/prospective clinical data, and expert consensus for the initial indications.
    • Clinical Literature/Consensus for Expanded Indication: For the new labeling related to Lung Ultrasound Imaging (LUS), the "ground truth" or justification is based on:
      • Established clinical practice: Recognition within the medical community for the utility of ultrasound in lung assessment.
      • Peer-reviewed studies and professional guidelines: As explicitly stated, the LUS labeling is "supported by clinical literature." This effectively implies that the medical community's consensus on the utility of LUS (as documented in such literature) serves as the "ground truth" for its clinical relevance.

    7. Sample Size for Training Set

    • No new training set: Not applicable. As no new AI/algorithm components were introduced or modified, there was no "training set" for the purpose of this specific 510(k) submission.

    8. How Ground Truth for Training Set was Established

    • No new training set: Not applicable.
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    K Number
    K201462
    Date Cleared
    2020-06-24

    (22 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia Diagnostic Ultrasound System is a multi-purpose mobile, software controlled, diagnostic ultrasound system with an on-screen display of thermal and mechanical indices related to potential bio-effect mechanisms. Its function is to transmit and receive ultrasound echo data and display it in B-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes. Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging, Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, syngo Velocity Vector Imaging, Custom Tissue Imaging, 3D/4D Volume Imaging and Harmonic Imaging on a Display.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for the Siemens ACUSON Sequoia Diagnostic Ultrasound System. It describes the device, its intended use, and its substantial equivalence to previously cleared predicate devices.

    However, the document explicitly states in section 8: "Since the ACUSON Sequoia Diagnostic Ultrasound System uses the same technology and principles as existing devices, clinical studies were not required to support substantial equivalence."

    This means that no clinical study was conducted to prove the device meets specific acceptance criteria based on human-in-the-loop performance or an AI’s standalone performance as would be the case for AI/ML-driven devices. Therefore, I cannot provide information on:

    • A table of acceptance criteria and reported device performance related to AI/ML.
    • Sample sizes, data provenance, number of experts, adjudication methods for a test set.
    • MRMC comparative effectiveness studies or standalone AI performance.
    • Ground truth establishment for test sets.
    • Training set sample size or ground truth establishment relevant to AI/ML.

    The provided information focuses on the device's technical specifications, safety standards compliance (acoustic output, biocompatibility, cleaning/disinfection, thermal, electrical, electromagnetic, mechanical safety), and engineering verification and validation, rather than clinical performance metrics for an AI/ML component.

    The "acceptance criteria" presented in this document are primarily related to general device safety and performance based on engineering principles and comparison to predicate devices, rather than the kind of AI/ML performance metrics typically seen in studies demonstrating clinical efficacy or diagnostic accuracy for an AI-powered device.

    Key takeaway: The document asserts substantial equivalence based on technological similarity to existing devices and compliance with safety standards, eliminating the need for new clinical performance studies for this specific submission.

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    K Number
    K200707
    Date Cleared
    2020-04-15

    (28 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ACUSON Sequoia Diagnostic Ultrasound System

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The ACUSON Sequoia ultrasound imaging system is intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

    The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transvaqinal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

    Device Description

    The ACUSON Sequoia Diagnostic Ultrasound System is a multi-purpose mobile, software controlled, diagnostic ultrasound system with an on-screen display of thermal and mechanical indices related to potential bio-effect mechanisms. Its function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes and Harmonic Imaging on a Display.

    AI/ML Overview

    Based on the provided text, here's an analysis of the acceptance criteria and the study that proves the device meets them:

    1. A table of acceptance criteria and the reported device performance

    The provided document is a 510(k) Pre-Market Notification, which focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than presenting specific acceptance criteria and performance data for new functions. The "acceptance criteria" here are implicitly the existing performance and safety characteristics of the predicate devices. The "reported device performance" is essentially that the ACUSON Sequoia Diagnostic Ultrasound System performs equivalently to its predicate devices.

    Acceptance Criteria CategoryReported Device Performance
    Intended Use EquivalenceThe ACUSON Sequoia system's intended uses are consistent with its predicate devices (ACUSON Sequoia K193257 and ACUSON S family K172162). It provides images/signals for Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN, Cardiac, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications, and measures anatomical structures for various clinical diagnosis purposes, matching the predicates. It also adds new indications for Adult Cephalic and incorporates specific transducers (CW5, 11M3, 7L2) and a needle guide for 7L2, which were cleared under previous 510(k)s.
    Technological Characteristics EquivalenceThe modified ACUSON Sequoia Ultrasound System shares the same technology and principles as the predicate ACUSON Sequoia (K193257) and the ACUSON S family (K172162). It transmits and receives ultrasound echo data and displays it in various modes (B-Mode, M-Mode, PW Doppler, CW Doppler, Color Doppler, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, combined modes, and Harmonic Imaging). Features, frequencies, modes, and other characteristics (e.g., monitor, touch screen, patient contact materials, safety certifications) are either identical to or within the established range of the predicate devices.
    Safety and EffectivenessThe device has been evaluated for acoustic output, biocompatibility, cleaning and disinfection effectiveness, and thermal, electrical, electromagnetic, and mechanical safety. It conforms to applicable medical device safety standards (IEC 62359:2010, AAMI ES60601-1:2005, IEC 60601-1-2 Ed 4.0 2014-02, IEC 60601-2-18: Ed 3.0 2009-08, IEC 60601-2-37 Ed 2.1 2015, ISO 10993-1). The manufacturer's design and development process conforms to 21 CFR 820 Quality System Regulation and ISO 13485:2016 quality system standards.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    The document explicitly states: "Since the ACUSON Sequoia Diagnostic Ultrasound System uses the same technology and principles as existing devices, clinical studies were not required to support substantial equivalence." This indicates that no specific "test set" of clinical data was used for this 510(k) submission to demonstrate performance with acceptance criteria, as the claim is based on equivalence to previously cleared devices.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    Not applicable, as no new clinical studies or test sets with ground truth establishment by experts were conducted for this submission.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    Not applicable, as no new clinical studies or test sets requiring adjudication were conducted for this submission.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This is a submission for a diagnostic ultrasound system, not an AI-enabled device requiring a comparative effectiveness study in the context of human reader improvement.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable. This is not an AI algorithm. The submission is for a diagnostic ultrasound system.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    Not applicable, as no new clinical studies were conducted to establish ground truth for new performance claims. The "ground truth" for the device's capabilities relies on the established safety and efficacy of its predicate devices, which would have undergone their own validation processes during their initial clearance.

    8. The sample size for the training set

    Not applicable, as there is no mention of a training set, indicating that this is not an AI/machine learning device that performs a diagnostic task for which it needs to be "trained."

    9. How the ground truth for the training set was established

    Not applicable, as there is no training set mentioned.

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