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510(k) Data Aggregation

    K Number
    K230635
    Device Name
    Pen Needle
    Date Cleared
    2023-06-02

    (87 days)

    Product Code
    Regulation Number
    880.5570
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Pen Needle is intended for use with pen injector devices for the subcutaneous injection of drugs.

    Device Description

    The proposed device, Pen Needle, is designed for use with pen injectors for subcutaneous injection of a desired dose of drugs approved for delivery using a pen needle. It is provided sterile, single use. The proposed device consists of four components, which are 1) Needle Container 2) Needle Shield 3) Needle Tube and 4) Needle Hub. Needle Container, together with Sealed Paper can forming the unit packaging of Pen Needle, that maintains the sterility of Pen Needle Hub can be connected screwed onto the pen injectors.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for a medical device (Pen Needle) and focuses on demonstrating substantial equivalence to a predicate device. It is not an AI/ML medical device submission. Therefore, the document does not contain information typically found in an AI/ML medical device acceptance criteria and study section, such as:

    • A table of acceptance criteria and reported device performance for an AI/ML algorithm.
    • Sample sizes used for a test set or data provenance for an AI/ML algorithm.
    • Number of experts or qualifications of experts used for AI ground truth.
    • Adjudication methods for AI test sets.
    • Multi-Reader Multi-Case (MRMC) comparative effectiveness studies.
    • Standalone AI performance.
    • Type of ground truth used for AI/ML.
    • Sample size or ground truth establishment for an AI/ML training set.

    The document discusses non-clinical tests performed to verify the Pen Needle met design specifications and complied with ISO standards, focusing on manufacturing quality, sterility, and biocompatibility rather than an AI algorithm's performance.

    Therefore, I cannot extract the requested information as it is not present in the provided text.

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