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510(k) Data Aggregation

    K Number
    K162951
    Date Cleared
    2017-07-28

    (277 days)

    Product Code
    Regulation Number
    880.5440
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    TUBETECH IV Administration Set

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

    For the administration of fluids from a container into the patient vascular system through a vascular access device.

    Device Description

    Not Found

    AI/ML Overview

    I am sorry, but the provided text from the FDA letter pertains to a 510(k) premarket notification for an "TUBETECH® IV Administration Set," which is a medical device for administering fluids. It does not contain any information about a study proving that a device meets acceptance criteria for an AI/ML-based medical device.

    Therefore, I cannot extract the following information from the given text:

    1. A table of acceptance criteria and the reported device performance: The document describes a physical medical device (IV administration set), not an AI/ML device with performance metrics.
    2. Sample sizes used for the test set and the data provenance: Not applicable to this device.
    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable.
    4. Adjudication method for the test set: Not applicable.
    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done: Not applicable.
    6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done: Not applicable.
    7. The type of ground truth used: Not applicable.
    8. The sample size for the training set: Not applicable.
    9. How the ground truth for the training set was established: Not applicable.

    The document is a routine FDA clearance letter confirming substantial equivalence of a general hospital device to a predicate device, focusing on regulatory compliance rather than performance study results for an AI/ML product.

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