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510(k) Data Aggregation

    K Number
    K023959
    Date Cleared
    2003-02-21

    (86 days)

    Product Code
    Regulation Number
    882.5960
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    JEROME GLASS RING

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

    The Jerome Glass Ring is intended for use with a Jerome Halo Vest to immobilize and/or provide traction for a cervical spine injury.

    Device Description

    The Fiberglass Halo Traction Ring is similar to other halo rings which. when used as part of a Halo System, are designed to hold the skull firmly in place relative to the torso so cervical vertebrae are immobilized following surgery or injury.

    AI/ML Overview

    The provided document describes a 510(k) premarket notification for the Jerome Glass Ring, demonstrating its substantial equivalence to a predicate device. This type of submission does not typically include clinical efficacy studies as would be seen for novel or high-risk devices. Instead, it relies on comparative technical performance to established standards.

    Here's an analysis of the acceptance criteria and the "study" based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (from ASTM F 1831 - 97)Reported Device Performance (Jerome Glass Ring)
    Mechanical Integrity (defined by ASTM F 1831 - 97 standard for "Standard Specification for Testing Spinal Implants Material Systems")Meets requirements of ASTM F 1831 - 97 for Mechanical Integrity of Halo Rings

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

    • Test Set Sample Size: Not explicitly stated. The document refers to meeting a standard (ASTM F 1831 - 97), which would dictate the number of test samples required. However, the specific number of Jerome Glass Rings tested to demonstrate conformance is not provided.
    • Data Provenance: The device performance is based on mechanical testing conducted to meet an ASTM standard. This implies a laboratory or engineering testing environment. The document does not provide information on the country of origin of this testing data or whether it was retrospective or prospective in a clinical sense. It's a materials and mechanical performance test, not a clinical trial.

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

    • This type of information is not applicable to this submission. The "ground truth" for mechanical integrity is established by the ASTM F 1831 - 97 standard itself, which defines the test methods and acceptance limits. It would be an engineering determination based on empirical data from the tests, not an expert panel reviewing clinical cases.

    4. Adjudication Method for the Test Set

    • Not applicable. As the "test set" refers to mechanical performance testing, there is no adjudication process in the sense of clinical review or consensus between experts. The results are compared directly to the specifications of the ASTM standard.

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

    • No, an MRMC comparative effectiveness study was not done. This is a medical device for mechanical support and immobilization, not a diagnostic imaging device utilizing AI. Therefore, the concept of human reader improvement with AI assistance is not relevant to this submission.

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

    • No, a standalone algorithm performance study was not done. This device does not incorporate an algorithm or AI component.

    7. The Type of Ground Truth Used

    • The "ground truth" for the device's performance is adherence to the mechanical specifications and testing methodology outlined in the ASTM F 1831 - 97 standard. This standard serves as the benchmark for demonstrating that the device is fit for its intended mechanical purpose.

    8. The Sample Size for the Training Set

    • Not applicable. This submission describes a mechanical medical device, not a machine learning or AI-based system. Therefore, there is no "training set" in the context of algorithm development.

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

    • Not applicable. As there is no training set for an algorithm, there is no ground truth to establish in this context.
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