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510(k) Data Aggregation

    K Number
    K230668
    Date Cleared
    2024-06-14

    (462 days)

    Product Code
    Regulation Number
    870.1650
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    Disposable High-pressure Extension Lines

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

    The Disposable High-pressure Extension Lines is indicated for use as a connecting line for injection of contrast media or saline during coronary angiographic procedures.

    Device Description

    Not Found

    AI/ML Overview

    I am sorry, but the provided text does not contain the information required to answer your request. The document is an FDA 510(k) clearance letter for "Disposable High-pressure Extension Lines," which is a medical device. This letter confirms that the device is substantially equivalent to legally marketed predicate devices.

    However, the text does not include:

    • Details about acceptance criteria for device performance.
    • Results of a study proving the device meets acceptance criteria.
    • Information on sample sizes for test sets (or training sets, for that matter).
    • Any mention of data provenance (country of origin, retrospective/prospective).
    • Details about experts used for ground truth establishment or their qualifications.
    • Adjudication methods.
    • Whether a multi-reader multi-case (MRMC) comparative effectiveness study was done, or any effect sizes related to human reader improvement with AI assistance.
    • Whether a standalone algorithm performance study was done.
    • The type of ground truth used (expert consensus, pathology, etc.).
    • How ground truth for a training set was established.

    This document specifically concerns a physical medical device (extension lines for angiographic injectors), not an AI/Software as a Medical Device (SaMD) that would typically involve the types of studies and criteria you've asked about (e.g., performance metrics, ground truth, expert readers, training sets).

    Therefore, I cannot populate the table or answer the specific questions about acceptance criteria and study details based on the provided text.

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