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510(k) Data Aggregation

    K Number
    K213481
    Date Cleared
    2022-05-24

    (207 days)

    Product Code
    Regulation Number
    878.4370
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    Medline General Surgery Tray

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

    The Medline General Surgery Tray contains a single-use sterile surgical drape intended to be used as a protective patient covering, such as to isolate a site of surgical incision from microbial and other contamination. The drape is packaged and sterilized with disposable devices intended for professional use/used by licensed physicians in preparing the operating environment for, and performing procedures and surgeries. The intended products assembled in these kits will not be changed from the manufacturer's original intended use.

    Device Description

    Not Found

    AI/ML Overview

    I am sorry, but the provided text from the FDA 510(k) clearance letter for the "Medline General Surgery Tray" does not contain information about acceptance criteria or a study proving the device meets specific performance criteria.

    The 510(k) letter is a regulatory document indicating that the FDA has reviewed the premarket notification and determined the device is substantially equivalent to legally marketed predicate devices. It focuses on regulatory requirements, classification, and general controls, rather than detailed performance study results or acceptance criteria.

    The "Indications for Use" section describes how the device is intended to be used (as a single-use sterile surgical drape to isolate a surgical site) but does not provide details of any studies or performance metrics.

    Therefore, I cannot fulfill your request for:

    1. A table of acceptance criteria and reported device performance.
    2. Sample sizes, data provenance, number of experts, adjudication methods for test sets.
    3. Information on MRMC studies or human reader improvement.
    4. Stand-alone algorithm performance.
    5. Type of ground truth used.
    6. Sample size for the training set or how ground truth was established for the training set.

    This type of information is typically found in the full 510(k) submission, not in the public clearance letter.

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