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510(k) Data Aggregation

    K Number
    K121422
    Date Cleared
    2012-08-16

    (94 days)

    Product Code
    Regulation Number
    892.1560
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The DIAGNOSTIC ULTRASOUND SYSTEM APLIO 500 MODEL TUS-A500, APLIO 400 MODEL TUS-A400 and APLIO 300 MODEL TUS-A300 is indicated for the visualization of structures, and dynamic processes with the human body using ultrasound and to provide image information for diagnosis in the following clinical applications: fetal, abdominal, intra-operative (abdominal), pediatric, small organs, trans-vaginal, trans-rectal, neonatal cephalic, adult cephalic, cardiac (both adult and pediatric), peripheral vascular, transesophageal, and musculoskeletal (both conventional and superficial).

    Device Description

    The DIAGNOSTIC ULTRASOUND SYSTEM APLIO 500 MODEL TUS-A500. APLIO 400 MODEL TUS-A400 and APLIO 300 MODEL TUS-A300 are mobile system. These systems are Track 3 devices that employ a wide array of probes that include flat linear array, convex linear array, and sector array with a frequency range of approximately 2 MHz to 12 MHz.

    AI/ML Overview

    The provided text is a 510(k) summary for the Toshiba DIAGNOSTIC ULTRASOUND SYSTEM APLIO 500 MODEL TUS-A500, APLIO 400 MODEL TUS-A400, and APLIO 300 MODEL TUS-A300 Version 2.1. It primarily focuses on demonstrating substantial equivalence to a predicate device (Toshiba DIAGNOSTIC ULTRASOUND SYSTEM APLIO 500 MODEL TUS-A500 / APLIO 400 MODEL TUS-A400 / APLIO 300 MODEL TUS-A300 V2.0; 510(k) control number K110870) and outlining the intended uses for various transducers.

    Based on the provided document, the information requested in your prompt about acceptance criteria and a study proving performance (specifically in the context of AI/ML or new clinical parameters) is not present. This document predates the widespread regulatory submissions for AI/ML devices in medical imaging, and its focus is on general ultrasound system functionality and traditional clinical applications.

    Therefore, I cannot provide a table of acceptance criteria and reported device performance for AI features, nor can I provide details about sample sizes for test/training sets, data provenance, number/qualifications of experts, adjudication methods, MRMC comparative effectiveness studies, or standalone algorithm performance studies related to AI.

    The document does include detailed tables for each transducer showing the "Intended Use: Diagnostic ultrasound imaging or fluid flow analysis of the human body as follows:", listing various clinical applications and modes of operation. For each application, it indicates whether it's a "P" (previously cleared by FDA) or "E" (added under this appendix) indication, or "N" (new indication) for a very few. This is essentially a declaration of the intended uses, but it does not specify performance acceptance criteria or provide study results to demonstrate performance for these applications.

    The document mentions compliance with several standards, such as IEC 60601-1 and its parts, IEC 62304, and AIUM-NEMA UD2/UD3 standards. These are general safety and performance standards for medical electrical equipment and ultrasound output measurement/display. They are compliance standards, not specific acceptance criteria for AI or diagnostic performance in patient studies.

    In summary, the provided content is a regulatory submission for device clearance based on substantial equivalence to a predicate device, focusing on intended uses and compliance with general safety and performance standards. It does not contain the kind of detailed information about acceptance criteria and performance studies you're asking for, particularly concerning AI or specific diagnostic efficacy metrics.

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