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510(k) Data Aggregation

    K Number
    K222838
    Device Name
    iSyncBrain©-C
    Manufacturer
    Date Cleared
    2023-03-16

    (177 days)

    Product Code
    Regulation Number
    882.1400
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The iSyncBrain-C is to be used by qualified medical or qualified clinical professionals for the statistical evaluation of the human electroencephalogram (EEG) in patients aged 4.5 to 81 years.

    Device Description

    iSyncBrain-C is a software program for the post-hoc statistical analysis of the human electroencephalogram (EEG). EEG signals can be measured by various EEG equipment, and the measured EEG data is saved in EDF files. iSyncBrain-C can upload, and analyze these EDF files, and personal information or results are automatically stored in AWS (Amazon Web Serve). The analysis consists of the Fast-Fourier Transformation (FFT) of the data to extract the spectral power for each of the designated frequency bands (e.g., Delta, Theta, Alpha, Alpha2, Beta2, Beta3, Gamma) and frequency information from the EEG. These analysis results are displayed in statistical tables and topographical brain maps of absolute and relative power, power ratio, ICA components, power spectrum, occipital alpha peak, source ROI power(sLORETA) & connectivity(iCoh). All EEG devices has its own frequency characteristics which should be included for any data comparisons coming from different devices. iSyncBrain-C has an EEG amplifier matching module where frequency spectra are adjusted with calibration table between database amplifier and recording amplifier. In all over 33,000 measures are derived for comparison against carefully constructed and statistically controlled age-regressed, normative database in which the variables have been transformed and validated for their Gaussian distribution. Each variable extracted by the analysis is compared to the database using parametric statistical procedures that express the differences between the subject and an appropriate sex/aqematched reference group in the form of z-scores.

    AI/ML Overview

    Here's an analysis of the provided text regarding the iSyncBrain-C device, focusing on acceptance criteria and the supporting study:

    1. Table of Acceptance Criteria and Reported Device Performance

    The provided document describes the iSyncBrain-C as a software program for post-hoc statistical analysis of human EEG. The performance data section primarily discusses software validation in accordance with FDA guidance, rather than specific diagnostic performance metrics like sensitivity or specificity. The substantial equivalence argument is based on functional and technical similarity to a predicate device (qEEG-Pro), not on meeting specific quantitative clinical performance thresholds.

    Therefore, the "acceptance criteria" appear to be focused on software functionality and safety, and substantial equivalence to a predicate device in terms of features and intended use. Specific quantitative performance metrics for disease detection or classification are not explicitly stated as acceptance criteria in this document.

    Acceptance Criteria (Implied from the document)Reported Device Performance
    Software functionality (e.g., data upload, analysis, storage, display)"The software was tested according to Software Design Specifications (SDS) as intended. The testing results support that all the software specifications have met each module's acceptance criteria and interaction of processes. The iSyncBrain-C passed all testing..."
    Safety of operation"iSyncBrain-C passed all testing and supported the claims of substantial equivalence and safe operation."
    Substantial Equivalence to Predicate Device (qEEG-Pro)"The information provided in this submission supports that iSyncBrain-C is the substantial equivalence to qEEG-Pro(K171414) and that the system is safe and effective for the users/operators."
    Age Range for Statistical EvaluationStatistical evaluation for patients aged 4.5 to 81 years. The normative database covers 4 to 82 years, aligning with the indication.
    Frequency Bands for Analysis8 specified frequency bands (Delta, Theta, Alpha1, Alpha2, Beta1, Beta2, Beta3, Gamma).
    Indicators ProvidedAbsolute power, Relative power, Power ratio, ICA component, Power spectrum, Occipital alpha peak, Source ROI power (sLORETA) & Connectivity (iCoh).
    Compatibility with EEG equipmentCan upload and analyze EEG data in EDF files. Includes an EEG amplifier matching module to adjust frequency spectra.

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

    The document does not explicitly state a test set specifically for evaluating the performance of the iSyncBrain-C algorithm against a clinical ground truth. The "Performance Data" section primarily refers to "software validation" against Software Design Specifications.

    However, the document mentions statistics regarding the normative database used by the device for comparison:

    • Sample size for Normative Database (used for comparison during analysis):

      • Eyes closed: 1289 samples
      • Eyes Open: 1288 samples
    • Data Provenance: Not explicitly stated (e.g., country of origin). The document mentions "carefully constructed and statistically controlled age-regressed, normative database," but details about its collection (retrospective/prospective) and origin are absent.

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

    This information is not provided in the document. The document refers to software validation and substantial equivalence claims, not a clinical study where experts establish ground truth for a test set. The normative database used for comparison is mentioned, but how its "ground truth" (i.e., "normal" characteristics) was established, or by whom, is not detailed.

    4. Adjudication Method for the Test Set

    This information is not provided as there is no mention of a clinical test set requiring expert adjudication in the context of performance evaluation for the iSyncBrain-C algorithm itself.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and the Effect Size of How Much Human Readers Improve with AI vs. Without AI Assistance

    A Multi-Reader Multi-Case (MRMC) comparative effectiveness study is not mentioned in the provided document. The device is described as a "software program for the post-hoc statistical analysis of the human electroencephalogram (EEG)" and its primary evaluation was software validation and substantial equivalence. There is no information about human readers' performance with and without AI assistance.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    A standalone performance study of the algorithm's diagnostic accuracy (e.g., identifying specific EEG abnormalities or conditions) is not explicitly described in the provided text. The "Performance Data" section focuses on software validation against design specifications and claims of substantial equivalence based on functionality. While it performs analyses independently, the document does not present data from a study measuring its standalone clinical diagnostic performance against a ground truth.

    7. The Type of Ground Truth Used (Expert Consensus, Pathology, Outcomes Data, etc.)

    For the software validation, the ground truth appears to be the Software Design Specifications (SDS). The device was tested to ensure it met these specifications.

    For the normative database against which individual patient EEGs are compared, the "ground truth" is implied to be a statistically controlled dataset representing "normal" age-regressed EEG patterns. However, the specific method used to establish this "normalcy" (e.g., expert review of all samples, lack of clinical symptoms/diagnoses) is not detailed. It's not a ground truth for a diagnostic task for the iSyncBrain-C itself, but rather a reference.

    8. The Sample Size for the Training Set

    The document does not explicitly mention a "training set" for the iSyncBrain-C algorithm. This suggests that if machine learning is involved in the analytical processes (beyond statistical comparisons to a normative database), the training data details are not provided. The reference to the "normative database" with 1289 (eyes closed) and 1288 (eyes open) samples is a reference database for comparison, not necessarily a training set for the algorithm's core functions.

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

    Since a "training set" is not explicitly mentioned or detailed, the method for establishing its ground truth is not provided.

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    K Number
    K220056
    Device Name
    iSyncWave
    Manufacturer
    Date Cleared
    2022-08-10

    (216 days)

    Product Code
    Regulation Number
    882.1400
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The iSyncWave is intended for prescription use in a health care facility to acquire, transmit, display and store primarily EEG and optional auxiliary signals for adults and children, not including newborns.

    Device Description

    iSyncWave™ is a wireless EEG measurement device that applies dry EEG measurement technology to an international 10-20 system compliant size-adjustable headset. iSyncWave™ measures 19 channel EEG in real time and transfers the data through BLE wireless connection to the iSyncWave™ App. The data is displayed and recorded via the iSyncWave™ App. iSyncWave™ uses dry electrode technology, which doesn't require a preparation process(e.g., applyinq conductive gel), to obtain high quality EEG signals. Before measuring the EEG, you can check the impedance of each electrode under the impedance check screen in the iSyncWave™ app. An EEG amplifier, analog-to-digital converter and Bluetooth are built in the device. All EEG signal is sampled at 250 Hz and then converted to digital data at 24-bit resolution. This device measures overall EEG data using 19 EEG electrodes, 1 Reference cable and 1 ground electrode. The measured data can be digitally converted to common average, longitudinal and transverse montage. The measured data is automatically uploaded to a secure cloud server via Wi-Fi connection and saved securely. The data saved in the cloud server can be seen on the iSyncWave™ app.

    AI/ML Overview

    The iSyncWave is an electroencephalograph (EEG) device intended for prescription use in healthcare facilities to acquire, transmit, display, and store EEG and optional auxiliary signals for adults and children (excluding newborns). The primary study proving the device meets its acceptance criteria is a non-clinical bench test comparison to a predicate device, the WR19 System by Zeto Inc. (K172735).

    Here's the breakdown of the requested information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria for the iSyncWave are primarily demonstrated through a substantial equivalence comparison to its predicate device, the WR19 System (K172735), and compliance with various international standards for medical electrical equipment. The "reported device performance" entries below reflect how the iSyncWave either matches or is deemed equivalent to the predicate, or meets the technical requirements of the standards.

    Acceptance Criteria CategoryAcceptance Criteria (from predicate/standards)Reported iSyncWave PerformanceRemark/Conclusion (from study)
    Indications for UseIntended for prescription use in a healthcare facility to acquire, transmit, display and store primarily EEG and optional auxiliary signals for adults and children, not including newborns.Same as predicate.Equivalent as predicate
    User InterfaceOperator control, visual indicators.Operator control, visual indicators.Equivalent as predicate
    System ComponentsHeadset, Electrodes, Charger, Charging cable, Software.Headset, Electrode, Software.Equivalent as predicate (Charger not included in iSyncWave™ but functionality achieved)
    Signals AcquiredScalp EEG, Accelerometer.Scalp EEG.Equivalent as predicate (Accelerometer not included but not considered a significant difference)
    Power Supply1 x 2050mAh 3.7V Lithium-Ion battery.2950 mAh 3.7V Lithium-Ion battery.Equivalent as predicate (iSyncWave™ has 50% higher battery capacity)
    Battery ChargingVia USB connector connected to USB wall charger.Via USB connector connected to USB wall charger.Equivalent as predicate
    Typical Charging Time0.5 - 6.0 hours.0.5 - 2.5 hours.Equivalent as predicate (iSyncWave™ speedy charging)
    Operating Time6 - 7 hours.7 hours.Equivalent as predicate
    Typical Use Duration20 - 60 minutes.10 - 20 minutes.Equivalent as predicate (iSyncWave™ optimized for quick usage)
    Dimensions214 x 274 x 144 mm (Complete headset with electrodes).250 x 243 x 150 (mm).No significant difference
    Weight< 650g or 23oz with battery (Complete headset with electrodes).1.59 kg.No significant difference (Through complex mechanical structure, stable contact quality is guaranteed)
    CleaningCleaned and disinfected by rubbing with isopropyl alcohol.Cleaned and disinfected by rubbing with isopropyl alcohol.Equivalent as predicate
    Internal Data StorageSD card, Minimum 8GB memory capacity.N/A (No internal data storage).No significant difference (iSyncWave™ does not need internal data storage)
    File Size per 8 hr Recording1.5 GB.0.5 GB.No significant difference (iSyncWave™ use lower data storage)
    Wireless Data Transfer802.11 b/g/n Wi-Fi.BLE V5.0, 802.11 b/g/n Wi-Fi.No significant difference
    Maximum Wireless Transfer DistanceUp to 30 meters (Wi-Fi).Up to 10 meters (BLE), Wi-Fi via application.Equivalent as predicate (iSyncWave™ uses BLE to headset, then tablet uses Wi-Fi)
    EEG DefinitionUp to 19 referential channels.Up to 19 referential channels.Equivalent as predicate
    Sampling Rate500 Hz.250 Hz.Equivalent as predicate (250 Hz sufficient for routine EEG analysis reviewing delta to gamma (1.0 ~ 50.0 Hz) frequency analysis)
    Hardware FilteringNo hardware LPF/HPF/Notch filters.Hardware LPF/HPF.Equivalent as predicate (iSyncWave™'s hardware filter gives cleaner signal to the amplifier)
    Software FilteringOptional LPF and HPF (Cutoff frequency selectable by operator), 50 Hz, 60 Hz notch.50 Hz, 60 Hz notch filters.Equivalent as predicate (iSyncWave™ LPF and HPF is hardwired while notch filter is implemented on the software)
    Dynamic Range (EEG)± 375 mV.± 1 mV.Equivalent as predicate (AFE reduces dynamic range but improves signal quality; severe abnormal EEGs mostly less than ±1mV)
    Resolution (EEG)0.044 μV.0.3 nV.Equivalent as predicate (Reduced dynamic range with 24-bit quantization results in reduced resolution to 0.1nV, which is claimed acceptable)
    Peak to peak noise (EEG)4 μV (typical).4 μV (typical).Equivalent as predicate
    Common Mode Rejection Ratio (EEG)> 120 dB (typical).> 89 dB (typical).Equivalent as predicate (Although lower hardware CMRR, software implements additional 50/60 Hz notch filter with ~70 dB attenuation)
    Input Impedance (EEG)1000 GOhm.1000 GOhm.Equivalent as predicate
    A/D Conversion (EEG)24 Bit.24 Bit.Equivalent as predicate
    Electrode TypeActive, dry.Dry.No significant difference (Instead of active electrode, AFE is added to conventional EEG amp)
    Contact Quality/ImpedanceContact quality monitoring performed.Contact quality monitoring performed.No significant difference
    Measurement (Real-time)Real time throughout the recording/test.Real time throughout the test.(During recording, all computing resource is dedicated to EEG acquisition)
    FirmwareWR19 headset is controlled by a firmware.iSyncWave™ headset is controlled by a firmware.Equivalent as predicate
    Data Center ApplicationWR19 sends data to the data center application in the cloud.iSyncWave™ sends data to the data center application in the cloud.Equivalent as predicate
    Client ApplicationPresents waveforms, controls EEG session, and offers standard EEG transformations; records and retrieves EEG waveforms.Presents waveforms, controls EEG session, and offers standard EEG transformations; records and retrieves EEG waveforms.Equivalent as predicate
    Electrode MaterialAg/AgCl coated.Ag/AgCl coated.Equivalent as predicate
    Electrode Mounting MechanismSemi-rigid wearable headset with adjustable electrode positions.Electrode position can be adjusted to International 10-20 electrode location on the expandable headset structure.No significant difference (Special mechanical structure maintains 10-20 system and contact pressure)
    Typical Usage SettingIntended for use for Routine clinical EEG where rapid placement of EEG electrodes as per the 10-20 EEG system is required.Intended for use for Routine clinical EEG where rapid placement of EEG electrodes as per the 10-20 EEG system is required.Equivalent as predicate
    Regulatory Compliance Standards AdherenceBasic safety and essential performance, EMC, Usability, Software lifecycle, Biocompatibility.Adherence to IEC 60601-1, IEC 60601-1-2, IEC 80601-2-26, IEC 60601-1-6, IEC 62304, ISO 10993-1, ISO 10993-5, ISO 10993-10, ISO 10993-23.None of the testing demonstrated any design characteristics that violated the requirements of the standards or resulted in any safety hazard.

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

    The provided document does not specify a separate "test set" in terms of patient data for evaluating diagnostic performance. The studies cited are primarily non-clinical bench tests focused on verifying compliance with various electrical, safety, software, and biocompatibility standards. The data provenance is related to these engineering and safety tests, not patient data from a specific country or whether it was retrospective/prospective.

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

    This information is not provided in the document. The regulatory submission focuses on engineering and safety compliance, and substantial equivalence to a predicate device, rather than a clinical performance study requiring expert ground truth assessment for a diagnostic task.

    4. Adjudication Method for the Test Set

    This information is not applicable as there is no described clinical test set involving patient data and multiple expert readings for adjudication.

    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

    There is no mention of a Multi Reader Multi Case (MRMC) comparative effectiveness study being performed or any assessment of human reader improvement with or without AI assistance. The device functions as an EEG acquisition and display system; the document does not describe AI-driven interpretation or assistance in EEG reading for diagnostic purposes.

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

    There is no mention of a standalone algorithm performance study. The device is described as an EEG acquisition and display system, not one that performs automated diagnostic interpretation.

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

    The ground truth used for the non-clinical bench tests would be the established technical specifications and performance limits defined by the international standards (e.g., IEC 60601-1 for basic safety, IEC 80601-2-26 for electroencephalographs performance), and the technical characteristics of the predicate device. This is not a clinical "ground truth" derived from patient outcomes or expert reads.

    8. The Sample Size for the Training Set

    This information is not provided as the submission describes a medical device for acquiring and displaying physiological signals (EEG), not a machine learning or AI algorithm that requires a training set of data.

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

    This information is not applicable as there is no described training set for a machine learning or AI algorithm.

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    K Number
    K151599
    Manufacturer
    Date Cleared
    2015-10-02

    (112 days)

    Product Code
    Regulation Number
    872.3640
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    iSy® Implant System implants are intended for immediate or delayed placement in the bone of the maxillary or mandibular arch. iSy" Implant System Abutments are intended for use as support for crowns, bridges or overdentures. When a one-stage surgical approach is applied, the implant may be immediately loaded when good primary stability is achieved and the functional load is appropriate.

    Device Description

    iSy Implant System implants are self-tapping, root form, tapered endosseous dental implants made of titanium. The implant has a smooth machined surface in the transgingival portion, and a Promote surface on the endosseous portion. The subject device implants are provided in two lengths (7.3 and 16 mm) and three diameters (3.8, 4.4 and 5.0 mm). The subject device includes four abutment types, gingiva former, temporary abutment, Locator® and Esthomic Abutment. Abutments are compatible with all three diameters (3.8, 4.4 and 5.0 mm). The Esthomic abutment is available with three design angulations (0°, 15°, 20°). iSy® Implant System Abutments are intended for use as support for crowns, bridges or overdentures.

    AI/ML Overview

    I am sorry, but the provided text does not contain any information about acceptance criteria or a study proving that a device meets those criteria. The document is an FDA 510(k) premarket notification clearance letter for the iSy® Implant System, which establishes its substantial equivalence to previously marketed devices.

    Therefore, I cannot fulfill your request to describe the acceptance criteria and the study that proves the device meets them, as this information is not present in the given text.

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    K Number
    K133991
    Device Name
    ISY
    Manufacturer
    Date Cleared
    2014-08-06

    (223 days)

    Product Code
    Regulation Number
    872.3640
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    iSy® Implant System implants are intended for immediate or delayed placement in the bone of the maxillary or mandibular arch. iSy® Implant System Abutments are intended for use as support for crowns, bridges or overdentures. When a one-stage surgical approach is applied, the implant may be immediately loaded when good primary stability is achieved and the functional load is appropriate.

    Device Description

    The iSy Implant System is an endosseous dental implant system designed for ease of use. Each product package contains the components needed for implant placement, impression taking, gingival contouring, and temporization. Components available with the iSy Implant System include the implant base, cover cap, multifunctional cap, gingiva former, universal abutment and Titanium base CAD/CAM. The implants are provided in three diameters (3.8, 4.4 and 5.0 mm) and three lengths (9, 11, and 13 mm). The implant/abutment interface is identical for all sizes and, therefore, only one abutment connection is necessary. The implant base is a mount, supplied with the implant, that also can be used for temporary restoration. Titanium base CAD/CAM is an abutment designed to be used with the Sirona CAD/CAM System in Coris ZI meso L and meso S to fabricate a hybrid abutment with an angle up to 20°. The cover cap, multifunctional cap and gingiva former are temporary abutments used during healing. The universal abutment and titanium base CAD/CAM are abutments used for final restoration. The iSy implants are made of unalloyed titanium, iSy implant base, universal abutment and Titanium base CAD/CAM are made of titanium alloy, and iSy cover cap, multifunctional cap and gingiva former are made of polyetheretherketone.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for the Altatec GmbH iSy® Implant System. It describes the device, its intended use, and argues for its substantial equivalence to previously cleared predicate devices.

    However, the document does not contain information related to acceptance criteria, device performance, ground truth establishment, sample sizes for test/training sets, adjudication methods, or MRMC studies for an AI/ML powered medical device. The device described is an endosseous dental implant system, which is a physical medical device, not a software or AI/ML product.

    Therefore, I cannot fulfill the request as the necessary information is not present in the provided text. The document refers only to non-clinical testing data such as engineering analysis, dimensional analysis, and static and dynamic compression-bending testing according to ISO 14801. It explicitly states: "Clinical data were not submitted in this premarket notification."

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    K Number
    K131433
    Date Cleared
    2014-03-11

    (298 days)

    Product Code
    Regulation Number
    892.1750
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The iSYS 1 device is a user-controlled electromechanical arm with a needle guide. It is intended to assist the surgeon in the positioning of a needle or electrode where both computed tomography (CT) and fluoroscopic imaging can be used for target trajectory planning and intraoperative tracking. The needle or electrode is then manually advanced by the surgeon. Trajectory planning is made with software that is not part of the iSYS device.

    Device Description

    The iSYS 1 is a modular needle guidance platform for interventional radiology and related fields. Core components are a 4 DOF micro positioning unit which allows the submillimetric needle positioning from simple needle angulations up to positioning and angulations with adjustable pivot point and a control unit which is directed by a cable connected control panel. The passive macro positioning unit and different table adapters allow different setups of the system around the patient in the region of interest. The needle-guide-kit (manufactured by ECOLAB) provides disposable components that ensure precise and sterile needle guidance.

    Planning of the tool position/orientation as well as validation of the correctness of the tool position must be performed with an external planning and measurement system which is not part of the iSYS-1 Interventional Platform. The position of iSYS 1 is visible for most imaging systems due to the used markers. During treatment the tool is controlled by the user.

    AI/ML Overview

    The iSYS 1 device is a user-controlled electromechanical arm with a needle guide intended to assist surgeons in positioning a needle or electrode using CT and fluoroscopic imaging for trajectory planning and intraoperative tracking.

    Here's an analysis of the acceptance criteria and supporting study details:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state quantitative acceptance criteria in a table format. However, it indicates general performance aspects that were tested and confirmed. Based on the "Performance Data" and "Non-Clinical Performance Data" sections, the implied acceptance criterion is that the device demonstrates mechanical accuracy, compatibility, stability, and proper functionality within specified operating conditions.

    Acceptance Criteria (Implied)Reported Device Performance
    Mechanical accuracy (below 1 mm)Mechanical accuracy of iSYS1 is below 1 mm (note: this is the device's inherent mechanical accuracy, not overall treatment accuracy which depends on imaging).
    Compatibility with imaging modalityTested and proven compatible.
    Tendency to produce artifactsTested for. (Implied: acceptable level of artifacts or no significant artifacts).
    Mechanical stability under worst-case external payloadTested for. (Implied: stable under worst-case conditions).
    Mechanical stability of table adapters under external payloadTested for. (Implied: stable under external payload).
    Accuracy in remote-control modeTested for. (Implied: accurate in remote-control mode).
    Accuracy of needle guidanceTested for. (Implied: accurate needle guidance).
    Functionality of hardware modulesTested for functionality. (Implied: modules functional).
    Effectiveness of hardware safety measures for the softwareTested for effectiveness. (Implied: effective safety measures).
    Effectiveness of alarm systemsTested for effectiveness. (Implied: alarm systems effective).
    Compliance with electrical and mechanical safety standards (EN ISO 60601-1, EN 60601-1-8)Device tested and found compliant.
    Compliance with Electromagnetic Compatibility (FCC Part15, ISO 60601-1-2)Device tested and found compliant.
    Accuracy validated with external reference systemsValidated with Philips Allura Xper Guide FD 20 X-ray system and Axiom Artis Zeego from Siemens Healthcare; "passed all tests."

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

    The document does not specify a separate "test set" in the context of clinical or image-based evaluations with patient data. The performance studies mentioned appear to be more focused on non-clinical, bench-top testing to verify mechanical and electrical characteristics.

    • Sample Size: Not specified for any clinical or image-based test set involving patients. The performance tests refer to "clinical conditions" for accuracy of needle placement, but no sample size or patient count is given.
    • Data Provenance: Not explicitly stated as retrospective or prospective clinical data. The tests focus on device performance rather than patient outcomes from a specific country. The manufacturer is iSYS Medizintechnik GmbH from Austria.

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

    This information is not provided. The ground truth for performance tests appears to be based on engineering measurements and validation against known standards (e.g., accuracy below 1mm, compliance with electrical safety standards). For "accuracy of the needle placement under clinical conditions," it's not specified how ground truth was established or by whom.

    4. Adjudication Method for the Test Set

    Not applicable, as a clinical test set requiring expert adjudication for ground truth is not detailed in the provided information.

    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. The iSYS 1 is a mechanical device for needle guidance, not an AI or image interpretation system for "human readers." Therefore, an MRMC study comparing human readers with and without AI assistance is outside the scope of this device's evaluation as described.

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

    Not applicable. The iSYS 1 is an electromechanical arm designed to assist a surgeon (human-in-the-loop). It is not an algorithm-only device. The planning of the tool position/orientation and validation of its correctness are performed with external planning and measurement systems, and the needle/electrode is manually advanced by the surgeon.

    7. The Type of Ground Truth Used (expert consensus, pathology, outcomes data, etc.)

    For the non-clinical performance data, the ground truth is primarily engineering specifications, physical measurements (e.g., mechanical accuracy below 1mm), and adherence to established electrical and mechanical safety standards (EN ISO 60601-1, EN 60601-1-8) and EMC standards (FCC Part15, ISO 60601-1-2). For "accuracy of the needle placement under clinical conditions," the specific type of ground truth (e.g., imaging confirmation, direct measurement) is not detailed.

    8. The Sample Size for the Training Set

    Not applicable. The iSYS 1 device is a mechanical system, not an AI or machine learning algorithm that requires a "training set" of data.

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

    Not applicable, as there is no training set for this device.

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