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510(k) Data Aggregation

    K Number
    K960188
    Date Cleared
    1996-10-02

    (260 days)

    Product Code
    Regulation Number
    880.5550
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    PRESSUREGUARD: SELECTCARE

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

    For the prevention and treatment of pressure ulcers.

    Device Description

    The PressureGuard SelectCare is a powered air flotation mattress which provides pressure-reducing support within a range of adjustable firmness to meet individual comfort needs. The system also includes a CPR mode, providing a firm surface for performing CPR.

    AI/ML Overview

    This document is a 510(k) summary for a medical device called "PressureGuard: SelectCare Mattress System". It describes the device, its intended use, and its substantial equivalence to a predicate device. However, it does not contain any information about acceptance criteria, device performance studies, sample sizes, expert ground truth, or MRMC studies that would be relevant to evaluating AI/ML-based medical devices.

    Therefore, I cannot provide the requested information for the following reasons:

    • No acceptance criteria or device performance data: The document does not specify any quantitative or qualitative acceptance criteria for the device's performance (e.g., pressure reduction percentages, incidence of pressure ulcers, etc.). Consequently, it does not report any device performance against such criteria.
    • No study information: This is a pre-market notification (510(k)) summary, which focuses on demonstrating substantial equivalence to a legally marketed predicate device, not on presenting detailed clinical study results or performance metrics in the way an AI/ML device would.
    • Irrelevance to AI/ML device evaluation: The device described is a physical mattress system, not an AI/ML-based diagnostic or prognostic tool. Therefore, concepts like "test set," "training set," "ground truth experts," "adjudication methods," or "MRMC studies" are not applicable in this context.

    In summary, the provided text does not contain the type of information needed to answer your request, which is geared towards evaluating the performance of AI/ML medical devices.

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