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510(k) Data Aggregation

    K Number
    K243995
    Manufacturer
    Date Cleared
    2025-03-26

    (90 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K242079

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

    The Humeral Plating System is indicated for fractures and fracture dislocations, osteotomies, and non-unions of the proximal humerus, particularly in osteopenic bone.

    The Cerclage Button is intended for use with the humeral plating system and FiberTape® cerclage suture, to augment fracture stabilization with humeral plates in long bone fixation. The cerclage button is designed for use with the humeral plating system and may not be used alone.

    Device Description

    The Arthrex Humeral Plating and Cerclage Button consist of straight humeral plates and a 3.5 threaded cerclage button for use in the repair of proximal humerus fractures. The devices are provided sterile (gamma) and non-sterile, for single use. The proposed plates range in length from 90.5 - 309 mm and include suture holes for soft tissue refixation. The proposed devices are manufactured from titanium alloy conforming to ASTM F136. The proposed devices are compatible with Arthrex 3.5 mm screws (K241592 and K203294) and Arthrex 4.0 mm screws (K150456, K143614, and K103705).

    AI/ML Overview

    I am sorry, but the provided text does not contain information about acceptance criteria or a study proving a device meets those criteria, as typically found in submissions for AI/ML-based medical devices. The document describes a traditional 510(k) premarket notification for a Class II metallic bone fixation appliance (Arthrex Humeral Plating System and Cerclage Button).

    The "Performance Data" section mentions mechanical testing (4-point bend, MRI compatibility) and bacterial endotoxin testing, which are standard for orthopedic implants to demonstrate engineering performance and biocompatibility compared to predicate devices. However, this is not a study proving an AI/ML device meets clinical acceptance criteria.

    Therefore, I cannot extract the information required to populate the fields you listed, such as sample size, expert ground truth establishment, MRMC studies, or standalone algorithm performance, as these concepts are not applicable to the type of device described in this document.

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