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510(k) Data Aggregation

    K Number
    K163038
    Date Cleared
    2017-02-28

    (120 days)

    Product Code
    Regulation Number
    888.3040
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    EPIC Extremity Snap-Off Screw

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

    The EPIC Extremity Snap-Off Screw is indicated for use in fixation of bone fractures or bone reconstruction.

    Examples include:

    *Fixation of small bone fragments

    • Weil osteotomy

    *Mono-cortical fixation

    *Osteotomies and fracture fixation in the foot and hand

    The Snap-Off Screw is intended for single use only.

    Device Description

    The EPIC Extremity Snap-Off Screw will consist of headed snap off screws of various lengths and instruments to assist in implanting the devices.

    AI/ML Overview

    The provided text is related to a 510(k) premarket notification for a medical device (EPIC Extremity Snap-Off Screw). It is a regulatory document from the FDA detailing the approval of a medical device based on its substantial equivalence to previously marketed predicate devices.

    However, the document DOES NOT contain information regarding a study that proves the device meets specific acceptance criteria in the context of an AI/ML-driven medical device, nor does it provide details on human reader studies, ground truth establishment, or sample sizes related to AI model validation.

    The document states:

    • "No clinical testing was required."
    • The non-clinical performance data summary explicitly lists tests related to the mechanical properties of a screw (e.g., ASTM F-543, Torsional Properties, Axial PullOut, Torque to Fail: Snap-Off Feature). These are physical engineering tests for a hardware device, not performance metrics for an AI/ML system.

    Therefore, I cannot fulfill the request as the provided text doesn't contain the necessary information about an AI/ML device study. The questions are specifically framed for the validation of an AI/ML-driven device, which is not what this document describes.

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