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510(k) Data Aggregation

    K Number
    K042098
    Manufacturer
    Date Cleared
    2004-08-19

    (15 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    SENORX INTRODUCER

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

    The SenoRx Introducer is indicated for use to penetrate the breast under image guidance and provide a passageway through which a diagnostic biopsy of a breast may be performed.

    Device Description

    Not Found

    AI/ML Overview

    The provided text is a 510(k) clearance letter from the FDA for a device called "SenoRx Introducer." This type of document is for regulatory clearance and does not contain information about acceptance criteria or a study proving device performance in the manner typically described for AI/ML devices.

    The information requested in the prompt (acceptance criteria, device performance, sample sizes, ground truth establishment, expert qualifications, adjudication methods, MRMC studies, standalone performance, training set details) is standard for clinical performance studies of AI/ML-driven medical devices.

    This document, however, is for a physical medical device (an introducer) and its clearance is based on demonstrating "substantial equivalence" to a legally marketed predicate device, not on achieving specific performance metrics in a clinical study as would be required for an AI algorithm.

    Therefore, I cannot extract the requested information from this document. The document primarily focuses on:

    • Confirming the device name and regulation details.
    • Stating that the device is substantially equivalent to a predicate device.
    • Listing the indications for use.
    • Outlining regulatory compliance requirements.

    There is no mention of acceptance criteria, device performance metrics, study design, sample sizes, expert involvement, or any of the elements related to evaluating an algorithm's performance.

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