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510(k) Data Aggregation

    K Number
    K163313
    Date Cleared
    2017-06-09

    (198 days)

    Product Code
    Regulation Number
    892.1570
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ASTRA TEE Transesophageal Probe Reprocessor, ASTRA VR Endovaginal/Endorectal Probe Reprocessor

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

    For the ASTRA TEE® -

    The ASTRA TEE® automated reprocessor facilitates high-level disinfection and rinsing of 1 or 2 transesophageal ultrasound probes using FDA cleared and Civco Medical Solutions approved high-level liquid disinfectants.

    For the ASTRA VR™ -

    The ASTRA VR™ automated reprocessor facilitates high-level disinfection and rinsing of 1 or 2 endovaginal/endorectal ultrasound probes using FDA cleared and Civco Medical Solutions approved high-level liquid disinfectants.

    Device Description

    The ASTRA Product Family of automated reprocessors are floor standing electromechanical lab equipment that facilitate high-level liquid disinfection of ultrasound probes that have been enzymatically pre-cleaned.

    AI/ML Overview

    The provided document is a 510(k) Pre-Market Notification for medical devices (ASTRA TEE® Transesophageal Probe Reprocessor and ASTRA VR™ Endovaginal/Endorectal Probe Reprocessor). It outlines the device description, intended use, and a comparison to predicate devices, focusing on demonstrating substantial equivalence. The document primarily discusses the device's technical specifications and the testing conducted to ensure its safety and effectiveness in controlling high-level disinfection processes.

    Unfortunately, the provided document does not contain the specific details required to answer all parts of your request about acceptance criteria met by a "device" in the context of an AI/human-in-the-loop study. The device in question here is an automated reprocessor for ultrasound probes, not an AI-powered diagnostic tool, and the performance criteria are related to disinfection efficacy, not diagnostic accuracy.

    Therefore, I cannot populate most of the requested table and details, as they pertain to performance metrics and study designs common for AI-based diagnostic devices (e.g., sensitivity, specificity, reader performance studies, expert adjudication for ground truth).

    However, I can extract the information relevant to the device's operational performance and the studies conducted to support its substantial equivalence.

    Here's what can be extracted and what cannot be from the provided text:

    What can be extracted:

    • Acceptance Criteria (Performance Attributes): The core performance attribute for this device is its ability to "control the HLD temperature, soak time, and rinse cycle to facilitate ≥6 Log reduction of M. terrae using Metricide OPA Plus, Cidex OPA, and Resert XL." This is the primary functional performance claim.
    • Study That Proves the Device Meets Acceptance Criteria:
      • Performance Testing Summary:
        • "The ASTRA system maintains time and temperature required for disinfection as per HLD manufacturers' specifications."
        • "The ASTRA system passed Safety and EMC testing."
        • "The ASTRA system passed Simulated use and Residual testing."
        • "The ASTRA system passed In-use testing."
      • Efficacy (Disinfection and Residual testing): "Pass as per simulated use (6log reduction of M. terrae), In-use Testing (complete kill) and residual testing (ISO10993-5 cytotoxic effect of
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