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510(k) Data Aggregation

    K Number
    K160567
    Manufacturer
    Date Cleared
    2017-05-18

    (444 days)

    Product Code
    Regulation Number
    876.5980
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Barone Jejunostomy Catheter Set is intended for patients older than 12 years old requiring jejunal feeding and delivery of medication. The device can be placed via a surgically open or laparoscopic technique.

    Device Description

    The Barone Jejunostomy Catheter Set is comprised of a jejunostomy catheter with a pre-loaded stiffening cannula, a Coons wire guide, a dilator, an enteral feeding adapter (funnel), two entry access needles, and a enteral transition connector. The Barone Jejunostomy Catheter is manufactured from polyether-urethane tubing. This catheter is a 10.2 Fr device with a proximal connector cap and a luer lock adapter, 6 distal sideports, a silicone suture wing, and a tapered distal tip; it has a length of 52 cm. The luer lock adapter is glued to the enteral feeding adapter (funnel) and thus is not functional for connecting to other devices. A 5.5 Fr polyethylene stiffener is also provided with the catheter and is matched for a transitional fit. The stiffener is designed with a pre-molded locking hub and a 0.035 inch diameter endhole.

    AI/ML Overview

    The provided document is a 510(k) summary for a medical device, the Barone Jejunostomy Catheter Set. It outlines the device's intended use, comparison to predicate devices, and performance data from various tests. However, the document does NOT contain information about a study proving the device meets acceptance criteria related to AI/algorithm performance on a test set, nor does it involve human readers, expert consensus for ground truth in the context of an algorithm, or training sets.

    The information provided describes physical and material performance tests (e.g., tensile testing, fracture testing, corrosion resistance, liquid leakage, biocompatibility, MRI compatibility) to demonstrate substantial equivalence to predicate devices, as required for a 510(k) submission to the FDA. It does not mention any AI or machine learning components or studies involving image analysis or diagnostic performance.

    Therefore, I cannot fulfill the request to describe the acceptance criteria and a study proving the device meets AI-related acceptance criteria, as the provided text pertains to a traditional medical device (catheter set) without any AI or algorithmic component described.

    If the request was intended for a different type of medical device (e.g., an AI-powered diagnostic tool), the provided text is not suitable.

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