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510(k) Data Aggregation

    K Number
    K971660
    Date Cleared
    1997-07-25

    (80 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    OLYMPUS GF-UM130 ULTRASOUND GASTROVIDEOSCOPE, ITS ASSOCIATED ACCESSORIES AND ANCILLARY EQUIPMENT

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

    Olympus GF-UM130 Ultrasound Gastroscope has been designed to be used with an Olympus Endoscopic Ultrasound Center, EVIS Video System Center, light source, documentation equipment, video monitor, Endo-Therapy accessories and other ancillary equipment for endoscopic ultrasound imaging of the gastrointestinal wall, biliary and pancreatic duct, and surrounding organs.

    Device Description

    Olympus GF-UM130 Ultrasound Gastrovideoscope, its associated accessories and ancillary equipment.

    AI/ML Overview

    The provided documentation is a K971660 FDA 510(k) clearance letter and summary for the Olympus GF-UM130 Ultrasound Gastrovideoscope. This type of document focuses on establishing substantial equivalence to a predicate device, rather than proving performance against specific acceptance criteria through a clinical study as would be detailed for a novel device or software.

    Therefore, the document does not contain the information requested regarding acceptance criteria and a study proving the device meets those criteria in the context of AI/software performance. It primarily details the regulatory classification, intended use, and substantial equivalence to existing devices.

    Specifically, the document does not include:

    1. A table of acceptance criteria and reported device performance.
    2. Sample sizes used for a test set, data provenance, or details about a test set.
    3. Number of experts used to establish ground truth or their qualifications.
    4. Adjudication method for a test set.
    5. Information about a multi-reader multi-case (MRMC) comparative effectiveness study or related effect sizes.
    6. Results of a standalone algorithm performance study.
    7. The type of ground truth used for performance evaluation.
    8. Sample size for a training set.
    9. How ground truth for a training set was established.

    This document precedes widespread AI in medical devices and focuses on the hardware and its established uses.

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