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510(k) Data Aggregation

    K Number
    K011978
    Manufacturer
    Date Cleared
    2001-08-09

    (45 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Synthes LCP Proximal Tibia Plate is intended treatment of non-unions, malunions, and fractures of the proximal tibia, including simple, comminuted, lateral wedge, depression, medial wedge, bicondylar, combinations of lateral wedge and depression, and fractures with associated shaft fractures.

    Device Description

    The Synthes LCP Proximal Tibia Plates are contoured to match the anatomy of the proximal tibia with a limited contact low profile design. There are plates designed for either the right or left tibia in a variety of shaft lengths. These plates will be available in both 3.5 mm and 4.5 mm versions. The plates are available in a variety of lengths. The locking screw holes accept both cannulated locking and conical screws. Two proximal round holes accept cortex screws, cancellous screws, or cannulated screws. The distal portion of the plate has combination dynamic compression locking screw holes that allow the option of using locking screws, cortex screws, or cannulated screws.

    AI/ML Overview

    This document is a 510(k) Pre-Market Notification from the FDA for a medical device (Synthes LCP Proximal Tibia Plate). It does not contain any information regarding acceptance criteria, study designs, sample sizes, expert qualifications, adjudication methods, multi-reader multi-case studies, standalone algorithm performance, or ground truth establishment relevant to AI/ML device evaluations.

    The provided text describes a traditional Class II medical device (bone fixation plate) and its regulatory clearance process based on substantial equivalence to a predicate device. This process typically involves demonstrating:

    • Substantial Equivalence: The new device is as safe and effective as a legally marketed predicate device. This is usually achieved by comparing indications for use, technological characteristics, and performance data (e.g., mechanical testing, biocompatibility).

    The information requested in your prompt (relating to acceptance criteria, sample sizes, expert ground truth, MRMC studies, standalone performance, etc.) is specific to the evaluation of AI/Machine Learning (AI/ML) powered medical devices, particularly those that generate diagnostic or prognostic outputs that need to be compared against a 'ground truth' established by human experts or other definitive methods.

    Since the provided document is for a mechanical bone plate, it does not involve AI/ML and therefore does not include the type of information you are asking for.

    Therefore, I cannot provide the requested information based on the input text.

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