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510(k) Data Aggregation

    K Number
    K220565
    Date Cleared
    2022-10-25

    (239 days)

    Product Code
    Regulation Number
    868.5690
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K182847

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

    The Hudson RCI Triflo II Incentive Deep Breathing Exerciser is intended as an inspiratory deep breathing positive exerciser for adult and pediatric (above 5 years) patients.

    Intended for single-patient, multi-use in a hospital or home care setting.

    Device Description

    The Hudson RCI Triflo II Incentive Deep Breathing Exerciser. The device is a non-diagnostic, therapeutic spirometer (inspiratory deep-breathing exerciser) designed for a maximum flow rate of approximately 1200 cc/sec. It is supplied in clean, sanitary condition, ready for use. It is designed for single patient use and discarded when no longer needed by the patient to whom assigned. By sequentially lifting the balls that are inside every chamber it provides an exercise incentive to patients who require sustained maximal inspiration (SMI), or similar maneuvers.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for a medical device, specifically an Incentive Spirometer. It contains information about the device, its intended use, comparison with predicate devices, and performance data.

    However, the document does not describe a study involving:

    • An AI/algorithm-based device.
    • Establishment of ground truth by experts.
    • Sample sizes for test sets or training sets in the context of an AI study.
    • Multi-reader multi-case (MRMC) studies.
    • The effect size of human readers improving with AI assistance.
    • Standalone algorithm performance.

    The "Performance Data" section (Section VII) details bench testing for the physical device (biocompatibility, cleaning validation, and various physical performance tests like flow accuracy, useful life, drop testing, packaging). These are standard engineering and safety tests for a physical medical device, not a study evaluating an AI algorithm's diagnostic or predictive performance.

    Therefore, based on the provided text, I cannot extract the information required to answer your prompt about acceptance criteria and a study proving an AI device meets acceptance criteria. The document describes a traditional medical device (an incentive spirometer) and its associated regulatory clearance process.

    If you can provide a document that discusses the development and validation of an AI-powered medical device, I would be happy to analyze it against your specified criteria.

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