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510(k) Data Aggregation

    K Number
    K232425
    Date Cleared
    2023-12-12

    (123 days)

    Product Code
    Regulation Number
    888.3660
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Signature™ ONE System

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

    The Signature™ ONE System is indicated, based on patient-specific radiological images with identifiable placement anatomical landmarks, to assist in pre-operative planning and/or intra-operative guiding of surgical instruments for shoulder replacement surgical procedures on patients not precluded from being radiologically scanned.

    The Signature™ ONE System is designed for use on a skeletally mature patient population. The targeted population has the same characteristics as the population that is suitable for the implants compatible with the Signature™ ONE System.

    The Signature™ ONE System is to be used with the glenoid components of the following shoulder implant systems in accordance with their indications: Zimmer® Trabecular Metal Reverse Plus® Shoulder. Comprehensive® Total Shoulder System, Comprehensive® Reverse Shoulder System, Comprehensive® Reverse Augmented Baseplates and Alliance® Glenoid System.

    The Signature™ ONE System pre-operative planning is also compatible with the humeral components of the following shoulder implant systems in accordance with their indications: Comprehensive® Total Shoulder System, Comprehensive® Reverse Shoulder System, and Identity™ Shoulder System.

    The Signature™ ONE System Guides and bone models are intended for single use only.

    Device Description

    The Signature™ ONE System is developed to assist in preoperative planning (using the Signature™ ONE Planner) and to accurately transfer a pre-operative plan to orthopedic surgical procedures (using the Signature™ ONE Guides and bone model) if desired in skeletally mature individuals for Total Shoulder Arthroplasty. Both anatomic and reverse (TSA and RSA respectively) approaches are supported.

    The Signature ONE Guides and Bone Models are designed and manufactured of polyamide (nylon) using additive manufacturing selective laser sintering (SLS), based on the approved/finalized pre-surgical plan and shipped prior to surgery. The guides and bone models are provided nonsterile and sterilized at the hospital. They are used intraoperatively to assist the surgeon in reproducing the plan on the scapula. The Signature ONE System surgical technique remains close to the conventional shoulder arthroplasty workflow.

    The Signature™ ONE System uses a Non-Device Medical Device Data System (MDDS) called the Zimmer Biomet Portal for the interaction with external users (i.e. imaging technician and the surgeon). The internal users (i.e. the Zimmer Biomet operators) use manufacturing software applications to prepare the patient cases for the surgeon.

    The purpose of this submission is to introduce new hardware kits for the existing compatible Comprehensive Reverse Augment implants and to include the addition of pre-operative planning of humeral components. A Rotational Guide component will be available as part of these two kits. Modifications have been made to the software applications to accommodate the new guide ordering option. The overall manufacturing process, materials, sterilization methods, have not changed from the previous primary predicate and principal of operation remains similar.

    AI/ML Overview

    The provided text does not contain detailed acceptance criteria or a comprehensive study report with the specific performance metrics typically found in such documents. The "Summary of Performance Data (Nonclinical and/or Clinical)" section is quite generic, listing categories of tests rather than specific results or acceptance criteria.

    Therefore, I cannot fulfill all components of your request with the information provided. However, I can extract what is available and highlight what is missing.

    Here's a summary of the available information and what is absent:

    Missing Information:

    • Specific Acceptance Criteria and Reported Device Performance (Table): The document lists categories of tests (Performance Tests, Engineering Analysis, Usability Engineering, Validation, Software V&V) but does not provide quantitative acceptance criteria (e.g., accuracy thresholds, precision targets) or the actual reported performance values for the device against these criteria.
    • Sample size for the test set and data provenance: The document mentions "Verification and Validation Testing" but does not specify the number of cases or subjects in the test set, nor the country of origin or whether the data was retrospective or prospective.
    • Number of experts used to establish ground truth and their qualifications: No information is provided about the experts involved in establishing ground truth for any test sets.
    • Adjudication method for the test set: No information is provided regarding adjudication methods.
    • Multi-reader multi-case (MRMC) comparative effectiveness study: The document does not mention an MRMC study or any results regarding human reader improvement with AI assistance.
    • Standalone (algorithm-only) performance: While software verification and validation are mentioned, specific standalone performance metrics (e.g., sensitivity, specificity, accuracy) for the algorithm are not provided.
    • Type of ground truth used: The description of "Validation... to validate related user needs, intended use and safety and effectiveness" is generic and does not specify how ground truth was established (e.g., expert consensus, pathology, outcome data).
    • Sample size for the training set: There is no mention of a training set or its size.
    • How the ground truth for the training set was established: Since a training set is not mentioned, the method for establishing its ground truth is also not provided.

    Available Information (Indirectly related to performance):

    The document primarily focuses on establishing substantial equivalence to a predicate device (K212560 and K211359) by demonstrating that the new device, the Signature™ ONE System, does not raise new questions of safety or effectiveness despite new features.

    The performance data mentioned in the document is categorized as:

    • Device Performance Testing:
      • Performance Tests: Documented to ensure performance of implemented features and verify related design inputs.
      • Engineering Analysis: Documented to ensure performance of implemented features and verify related design inputs.
      • Usability Engineering: Performance of the system in regards to human factors engineering.
      • Validation: Performed to validate related user needs, intended use, and safety and effectiveness.
    • Software Verification and Validation Testing: Conducted to satisfy requirements of the "Content of Premarket Submissions for Device Software Functions Guidance" and IEC 62304. This testing aims to demonstrate the system "does not raise any new issues of safety and effectiveness as compared to the predicate devices."

    Conclusion from the document:

    The conclusion drawn by the submitter is that "any differences between the subject and predicate devices do not raise different questions of safety and effectiveness and the proposed device is at least as safe and effective as the legally marketed predicate devices." This implies that the performance data (though not detailed here) was sufficient to demonstrate this equivalence.

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    K Number
    K212560
    Date Cleared
    2021-10-12

    (60 days)

    Product Code
    Regulation Number
    888.3660
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Signature™ ONE System

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

    The Signature™ ONE System is indicated, based on patient-specific radiological images with identifiable placement anatomical landmarks, to assist in pre-operative planning and/or intra-operative guiding of surgical instruments for shoulder replacement surgical procedures on patients not precluded from being radiologically scanned.

    The Signature™ ONE System is to be used with the glenoid components of the following shoulder implant systems in accordance with their indications and contraindications: Zimmer® Trabecular Metal™ Reverse Plus Shoulder, Comprehensive® Total Shoulder System, Comprehensive® Reverse Shoulder System, Comprehensive® Reverse Augmented Baseplates and Alliance™ Glenoid System.

    The Signature™ ONE Guides and bone models are intended for single use only.

    Device Description

    The Signature™ ONE System is developed to assist in preoperative planning of the glenoid component for Total Shoulder Arthroplasty (using the Signature™ ONE Planner) and to accurately transfer a pre-operative plan to orthopedic surgical procedures (using the Signature™ ONE Guides) if desired. Both anatomic and reverse (TSA and RSA respectively) approaches are supported.

    The Signature ONE Guides and Bone Model are designed and manufactured of polyamide (nylon) using additive manufacturing (selective laser sintering), based on the approved/finalized pre-surgical plan and shipped prior to surgery. The guides and bone models are provide nonsterile and sterilized at the hospital. They are used intraoperatively to assist the surgeon in reproducing the plan. The Signature ONE System surgical technique remains close to the conventional shoulder arthroplasty to allow converting to standard surgical technique at any time if needed during the operation.

    The Signature™ ONE System uses the Zimmer Biomet Drive Portal for the interaction with external users (i.e. imaging technician and the surgeon). The internal users (i.e. the Zimmer Biomet operators) use manufacturing software applications to prepare the patient cases for the surgeon.

    Modifications have been made to include guides and bone models for the Alliance Glenoid System, to the planning application and user interface, and the inclusion of an additional glenosphere size for the Comprehensive Reverse Implant System within the Signature™ ONE planning software application. The overall planning process, manufacturing process, materials, sterilization methods, principal of operation, have not changed from previous predicates.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for the Signature™ ONE System, a device used for pre-operative planning and intra-operative guiding in shoulder replacement surgery. However, the text does not contain the specific details required to answer all parts of your request regarding acceptance criteria and a study proving the device meets those criteria.

    Specifically, the document lacks a table of acceptance criteria with reported device performance metrics, sample sizes for test and training sets, details about ground truth establishment (number/qualifications of experts, adjudication methods), and information about MRMC studies or standalone algorithm performance.

    The document primarily focuses on explaining the device's indications for use, its substantial equivalence to predicate devices, and the general types of testing performed (engineering analysis, performance tests, system validation, and software verification/validation).

    Here's what can be extracted and what is missing based on your prompt:

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

    • Missing. The document states that "Performance Tests- Design verification tests were O documented to ensure the performance of the implemented features and verify related design inputs" but does not provide specific acceptance criteria or the measured performance outcomes.

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

    • Missing sample size for the test set.
    • Missing data provenance details. The document mentions "Cadaveric validation performed" but doesn't specify the number of cadavers or their origin. It also doesn't specify if other data used for software testing was retrospective or prospective, or its geographic origin.

    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):

    • Missing. The document does not describe how ground truth was established for any performance testing, nor does it mention the involvement of experts in defining a gold standard.

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

    • Missing. No information on adjudication methods for establishing ground truth is provided.

    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:

    • Missing. The document does not mention any MRMC studies or comparative effectiveness studies involving human readers with and without AI assistance. The device is described as assisting in planning and guiding, implying human interaction, but no such study details are provided.

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

    • Implicitly yes, partially, but no metrics are provided. The software verification and validation would involve algorithm-only testing to ensure its functionality. However, specific standalone performance metrics (e.g., accuracy of anatomical landmark identification by the algorithm alone) are not reported. The device's function is to "assist" which suggests a human-in-the-loop system.

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

    • Not explicitly stated. For the "Cadaveric validation," the ground truth would likely be based on physical measurements or surgical outcomes on the cadavers, but this is not detailed. For software testing, the ground truth for image processing tasks would typically be pre-annotated data, but the source or method of annotation is not mentioned.

    8. The sample size for the training set:

    • Missing. The document does not provide any information about a training set since it focuses on verification and validation of a cleared device, not the development or training phase of an AI model per se. While the device has "planning application" and "user interface" modifications, and "overall workflow remains unchanged from the predicate devices," it isn't explicitly stated that a "training set" in the machine learning sense was used for this particular submission.

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

    • Missing. As no training set information is provided, no details on how its ground truth was established are present.

    In summary, the provided document is a regulatory approval letter and a summary of the 510(k) submission, confirming substantial equivalence. It outlines the device's purpose and general testing activities but does not delve into the detailed performance study methodology, acceptance criteria, and specific results you've requested for an AI/ML device. This level of detail is often found in the full 510(k) submission or associated study reports, which are typically not included in the public-facing FDA clearance letter.

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    K Number
    K200615
    Date Cleared
    2020-06-05

    (88 days)

    Product Code
    Regulation Number
    888.3660
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Signature ONE System

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

    The Signature™ ONE System is indicated, based on patient-specific radiological images with identifiable placement anatomical landmarks, to assist in pre-operative planning and/or intra-operative guiding of surgical instruments for shoulder replacement surgical procedures on patients not precluded from being radiologically scanned.

    The Signature™ ONE System is to be used with the glenoid components of the following shoulder implant systems in accordance with their indications and contraindications: Zimmer® Trabecular Metal™ Reverse Plus Shoulder, Comprehensive® Total Shoulder System, Comprehensive® Reverse Shoulder System, Comprehensive® Reverse Augmented Baseplates and Alliance™ Glenoid System.

    The Signature™ ONE Guides and bone models are intended for single use only.

    Device Description

    The Signature™ ONE System is developed to assist in preoperative planning of the glenoid component for Total Shoulder Arthroplasty (using the Signature™M ONE Planner) and to accurately transfer a pre-operative plan to orthopedic surgical procedures (using the Signature™ ONE Guides) if desired. Both anatomic and reverse (TSA and RSA respectively) approaches are supported.

    The Signature ONE Guides and Bone Model are designed and manufactured of polyamide (nylon) using additive manufacturing (selective laser sintering), based on the approved/finalized pre-surgical plan and shipped prior to surgery. The guides and bone models are provide nonsterile and sterilized at the hospital. They are used intraoperatively to assist the surgeon in reproducing the plan. The Signature ONE System surgical technique remains close to the conventional shoulder arthroplasty to allow converting to standard surgical technique at any time if needed during the operation.

    The Signature™ ONE System uses the Zimmer Biomet Drive Portal for the interaction with external users (i.e. imaging technician and the surgeon). The internal users (i.e. the Zimmer Biomet operators) use manufacturing software applications to prepare the patient cases for the surgeon.

    Modifications have been made to Planning application to include Alliance™ Glenoid implant system as a Pure Planning option (i.e. no Guides and Bone Models). In addition, modifications have been made to the user interface of the overall planning application. The planning process, manufacturing process, materials, sterilization methods, principal of operation, have not changed from previous predicates.

    AI/ML Overview

    This FDA 510(k) premarket notification for the Signature™ ONE System does not contain the specific acceptance criteria, detailed study results, and statistical information typically required to fully answer your request regarding device performance and its proof. This document primarily focuses on demonstrating substantial equivalence to predicate devices, rather than presenting a standalone study proving the device meets predefined clinical acceptance criteria.

    However, based on the provided text, here's what can be extracted and inferred:

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

    The document does not explicitly state quantitative acceptance criteria (e.g., accuracy thresholds, precision ranges) or corresponding reported device performance metrics in a table format for clinical efficacy. The "Device Performance Testing" section mentions "Engineering Analysis" to "ensure the performance of the implemented features and verify related design inputs" but does not provide details on what these performance metrics were or their targets.

    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 does not specify any sample size for a test set for clinical performance evaluation. It mentions "patient-specific radiological images" are used for planning, but no details about a dedicated test set of patients or images for validation are provided. Therefore, data provenance (country of origin, retrospective/prospective) is also not available here.

    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)

    This information is not provided. The application is for a planning and guiding system, where the ground truth regarding surgical accuracy would typically be established by comparing the planned outcome to the actual intraoperative or post-operative outcome, often involving expert surgeons. However, no such study details are present.

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

    This information is not provided as there is no described test set of clinical images or cases requiring ground truth 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. The device is a planning and guiding system, not an AI diagnostic tool where human reader performance would typically be enhanced.

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

    The document describes the Signature™ ONE System as assisting in "pre-operative planning and/or intra-operative guiding of surgical instruments." This inherently implies a human-in-the-loop system (the surgeon). The "planning application" is a software component, but its performance is not described in a standalone, algorithm-only context of clinical efficacy in this document. The "Software Verification and Validation Testing" addresses the software's compliance with regulations like IEC 62304 and its concern level ("moderate"), implying testing of its functionality and reliability, but not its clinical performance as a standalone entity in terms of accuracy against ground truth.

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

    This information is not provided. For a surgical planning and guidance system, ground truth would ideally come from direct measurements of surgical accuracy and alignment post-procedure, or potentially surrogate measures confirmed by expert assessment.

    8. The sample size for the training set

    This information is not provided. While the system uses "patient-specific radiological images" for planning, the document does not discuss a "training set" in the context of an AI/ML model where a large dataset is used to train an algorithm. The system appears to be based on computational algorithms for planning rather than a deep learning model trained on a vast image dataset.

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

    This information is not provided as there is no discussed training set.

    Summary of what is present:

    • Software Verification and Validation Testing: This was conducted to satisfy FDA guidance and IEC 62304 for medical device software. The software is classified as "moderate" level of concern.
    • Engineering Analysis: Performed to ensure performance of implemented features and verify design inputs.
    • Usability Engineering: Addressed user interactions.

    In conclusion, this 510(k) notification focuses on the substantial equivalence of the Signature™ ONE System to previously cleared predicate devices, asserting that its modifications (like adding Alliance™ Glenoid system compatibility) do not raise new questions of safety and effectiveness. It provides a general overview of verification and validation activities (software, engineering, usability) but lacks the detailed performance study results and specific acceptance criteria that you requested for a comprehensive understanding of the device's proven clinical effectiveness.

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    K Number
    K192074
    Date Cleared
    2019-08-30

    (28 days)

    Product Code
    Regulation Number
    888.3660
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Signature ONE System

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

    The Signature™ ONE System is indicated, based on patient-specific radiological images with identifiable placement anatomical landmarks, to assist in pre-operative planning and/or intra-overative guiding of surgical instruments for shoulder replacement surgical procedures on patients not precluded from being radiologically scanned.

    The Signature™ ONE System is to be used with the glenoid components of the following shoulder implant systems in accordance with their indications: Zimmer® Trabecular Metal™ Reverse Plus Shoulder, Comprehensive® Total Shoulder System, Comprehensive® Reverse Shoulder System and Comprehensive® Reverse Augmented Baseplates.

    The Signature™ ONE Guides and bone models are intended for single use only.

    Device Description

    The Signature™ ONE System is developed to assist in pre-operative planning of the glenoid component for Total Shoulder Arthroplasty (using the Signature™ ONE Planner) and to accurately transfer a pre-operative plan to orthopedic surgical procedures (using the Signature™ ONE Guides) if desired. Both anatomic and reverse (TSA and RSA respectively) approaches are supported.

    The Signature ONE Guides and Bone Model are designed and manufactured of polyamide (nylon) using additive manufacturing (selective laser sintering), based on the approved/finalized pre-surgical plan and shipped prior to surgery. The guides and bone models are provide nonsterile and sterilized at the hospital. They are used intraoperatively to assist the surgeon in reproducing the plan. The Signature ONE System surgical technique remains close to the conventional shoulder arthroplasty to allow converting to standard surgical technique at any time if needed during the operation.

    The Signature™ ONE System uses the Zimmer Biomet Drive Portal for the interaction with external users (i.e. imaging technician and the surgeon). The internal users (i.e. the Zimmer Biomet operators) use manufacturing software applications to prepare the patient cases for the surgeon.

    Modifications have been made to some of the applications to improve the overall workflow: however, the patient specific guides and bone models remain unchanged from the predicate. In addition, modifications have been made to the user interface of the planning application.

    AI/ML Overview

    The provided text is a 510(k) summary for the Signature™ ONE System, a device for pre-operative planning and intra-operative guiding for shoulder replacement surgery. It discusses the device's indications for use, its similarity to a predicate device, and modifications made. However, the document does not contain the specific information requested regarding acceptance criteria, detailed study results (like sample sizes, expert qualifications, adjudication methods, MRMC studies, standalone performance), or the ground truth establishment process.

    The section "Summary of Performance Data (Nonclinical and/or Clinical)" only states:

    • "Addition of a landmark to the Signature ONE Planner to display the location of the deepest glenoid point"
    • "A feature is added to the Signature ONE Planner to display the medial/lateral translation between the backside on the implant and a reference landmark located on the most lateral point of the glenoid"
    • "A feature is added to the Signature ONE Planner to display the percentage of contact between the selected implant and the glenoid surface"
    • "All of the test steps passed successfully."

    This is a very high-level summary and does not provide the detailed study information needed to answer your questions. This type of FDA clearance (510(k)) often relies on demonstrating substantial equivalence to a predicate device rather than presenting extensive, complex clinical trial data as might be seen for novel technologies or PMA (premarket approval) applications.

    Therefore, I cannot provide the requested information from the given text. The document indicates that tests were performed and passed, but the specifics of those tests, the acceptance criteria, and how they proved the device meets those criteria are not detailed in this summary.

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    K Number
    K190595
    Date Cleared
    2019-06-05

    (90 days)

    Product Code
    Regulation Number
    888.3650
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Signature ONE System

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

    The Signature™ ONE System is indicated, based on patient-specific radiological images with identifiable placement anatomical landmarks, to assist in pre-operative planning and/or intra-operative guiding of surgical instruments for shoulder replacement surgical procedures on patients not precluded from being radiologically scanned.

    The Signature™ ONE System is to be used with the glenoid components of the following shoulder implant systems in accordance with their indications: Zimmer® Trabecular Metal™ Reverse Plus Shoulder, Comprehensive® Total Shoulder System, Comprehensive® Reverse Shoulder System and Comprehensive® Reverse Augmented Baseplates.

    The Signature™ ONE Guides and bone models are intended for single use only.

    Device Description

    The Signature™ ONE System is developed to assist in pre-operative planning of the glenoid component for Total Shoulder Arthroplasty (using the Signature™ ONE Planner) and to accurately transfer a pre-operative plan to orthopedic surgical procedures (using the Signature™ ONE Guides) if desired. Both anatomic and reverse (TSA and RSA respectively) approaches are supported.

    The Signature ONE Guides and Bone Model are designed and manufactured of polyamide (nylon) using additive manufacturing (selective laser sintering), based on the approved/finalized pre-surgical plan and shipped prior to surgery. The guides and bone models are provide nonsterile and sterilized at the hospital. They are used intraoperatively to assist the surgeon in reproducing the plan. The Signature ONE System surgical technique remains close to the conventional shoulder arthroplasty to allow converting to standard surgical technique at any time if needed during the operation.

    The Signature™ ONE System uses the Zimmer Biomet Drive Portal for the interaction with external users (i.e. imaging technician and the surgeon). The internal users (i.e. the Zimmer Biomet operators) use manufacturing software applications to prepare the patient cases for the surgeon.

    AI/ML Overview

    The provided text describes the 510(k) premarket notification for the Signature™ ONE System, a device intended to assist in pre-operative planning and intra-operative guiding for shoulder replacement surgery. However, the document does not contain specific acceptance criteria, detailed study results proving device performance against those criteria, or information regarding AI/algorithm performance metrics.

    It primarily focuses on demonstrating substantial equivalence to predicate devices based on intended use, technological characteristics, and principles of operation, rather than providing a detailed performance study with quantitative acceptance criteria and results.

    Therefore, many of the requested details cannot be extracted from this document.

    Here's an attempt to answer the questions based only on the provided text, indicating where information is not available:


    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance CriteriaReported Device Performance
    BiocompatibilityMeets biocompatibility requirements in accordance with ISO 10993.
    Sterilization & Shelf-Life (Residual Levels)Achieves acceptable residual levels by the cleaning and sterilization method as required by applicable standards.
    Sterilization & Shelf-Life (Dimensional Integrity of Guides)Acceptance criteria met for guides keeping their dimensional integrity throughout their shelf life of 6 months.
    Device Performance (Implemented Features)Performance of implemented features ensured; related design inputs verified (from Physical/Performance Tests & Engineering Analysis).
    Usability EngineeringUser interactions with the Signature™ ONE System addressed.
    Safety & Effectiveness (Full Simulated Use)Validated that using the Signature™ ONE System is safe and effective and that performances are acceptable under full simulated use on cadaveric specimens.
    Software Verification & Validation (Safety & Effectiveness vs. Predicate)Demonstrates that the Signature™ ONE System does not raise any new issues of safety and effectiveness as compared to the predicate device(s).

    2. Sample size used for the test set and the data provenance

    • Test Set Sample Size: Not specified in the provided text.
    • Data Provenance: Not specified, although testing on "cadaveric specimens" is mentioned. The country of origin of the data is not provided. It is presented as nonclinical performance data, and the general nature of such testing typically implies prospective testing on the device model.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not specified in the provided text.

    4. Adjudication method for the test set

    Not specified in the provided text.

    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

    • MRMC Study: Not mentioned.
    • Effect Size of Human Readers with AI vs. without AI assistance: Not applicable, as no MRMC study or AI performance improvement claims are detailed. The device is described as assisting in pre-operative planning and intra-operative guiding, not as an AI for reading or interpreting medical images in the context of improving human reader performance.

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

    • The document implies a "human-in-the-loop" system where the surgeon reviews, modifies, and approves the plan. It states the system "assist[s] in pre-operative planning and/or intra-operative guiding" and surgeons "interact with to review, modify and approve the plan."
    • No standalone algorithm-only performance is detailed.

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

    The term "ground truth" is not explicitly used. However, the validation lab performed studies "under full simulated use on cadaveric specimens," implying that the performance was assessed against known anatomical structures and surgical targets within those specimens, likely guided by expert surgical opinion and established anatomical references for accuracy.

    8. The sample size for the training set

    Not applicable. The document describes a medical device for surgical planning and guidance, not an AI/machine learning algorithm with a distinct "training set."

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

    Not applicable. See #8.

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