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510(k) Data Aggregation

    K Number
    K234115
    Device Name
    APRO 55 Catheter
    Manufacturer
    Date Cleared
    2024-03-15

    (79 days)

    Product Code
    Regulation Number
    870.1250
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The APRO 55 Catheter is indicated for use in facilitating the insertion and guidance of appropriately sized interventional devices into a selected blood vessel in the peripheral and neurovascular systems. The APRO 55 Catheter is also indicated for use as a conduit for retrieval devices.

    Device Description

    The APRO 55 Catheter is a single-lumen, braid and coil reinforced catheter. The APRO 55 Catheter is designed to facilitate the insertion and guidance of interventional devices into peripheral and neuro vasculature. Using standard catheterization techniques under fluoroscopic guidance, the APRO 55 Catheter is introduced through a guide catheter or guide sheath and over a guidewire into the target vasculature. The distal segment of the catheter shaft has a hydrophilic coating to aid navigation through the vasculature. A radiopaque marker is located at the distal tip of the catheter for visualization under fluoroscopy. The APRO 55 Catheter is provided with an Introducer Sheath.

    AI/ML Overview

    The provided document is a 510(k) summary for a medical device (APRO 55 Catheter) seeking FDA clearance, not a study report detailing acceptance criteria for an AI/ML device. Therefore, it does not contain information typically found in such a study, such as acceptance criteria for machine learning performance metrics (e.g., sensitivity, specificity, AUC), sample sizes for test sets in an AI context, data provenance, expert ground truth establishment, adjudication methods, MRMC studies, standalone algorithm performance, or training set details.

    The document describes non-clinical bench testing for a physical medical catheter, including mechanical, material, and biocompatibility tests. The "acceptance criteria" mentioned are for these engineering and biological tests, not for an AI/ML diagnostic or predictive model.

    Therefore, I cannot fulfill your request for information related to AI/ML acceptance criteria and study details based on the provided text.

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