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510(k) Data Aggregation

    K Number
    K971365
    Date Cleared
    1997-05-14

    (30 days)

    Product Code
    Regulation Number
    892.1600
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Not Found

    Device Description

    The Integris H 5000 / BH 5000 systems are subject to Federal Performance Standards, defined in 21CFR - part 1000; The Integris H5000 / BH 5000 systems will be manufactured in accordance with voluntary safety standards, such as UL 187 and UL 2601; The information for Users contains comprehensive information to insure safe and effective use; Past experience with substantially equivalent predicate devices has shown our device to be safe and effective when used as directed in the Information for Users.

    AI/ML Overview

    The provided document is a 510(k) summary for Philips Integris H 5000 and BH 5000 Cardio/Vascular Systems, dated February 25, 1997. It is a pre-market notification to the FDA for medical devices.

    This document describes a medical imaging system (Cardio/Vascular Systems), not an AI-powered device or an algorithm. Therefore, it does not contain the specific information requested in the prompt regarding acceptance criteria, study details, sample sizes, expert qualifications, ground truth, or AI-specific performance metrics. These types of details were not typically part of 510(k) submissions in 1997 for non-AI hardware.

    The summary focuses on:

    • Compliance with Federal Performance Standards (21CFR - part 1000).
    • Manufacturing in accordance with voluntary safety standards (UL 187 and UL 2601).
    • Comprehensive user information for safe and effective use.
    • Past experience with predicate devices for safety and effectiveness.

    Therefore, I cannot provide the requested information based on the provided text, as it pertains to a different type of medical device submission and predates the common application of AI in medical imaging at a level requiring such detailed performance evaluation.

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