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510(k) Data Aggregation

    K Number
    K143242
    Date Cleared
    2015-05-15

    (184 days)

    Product Code
    Regulation Number
    888.3560
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Rebel 3DKNEE System

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

    Joint replacement is indicated for patients suffering from disability due to:

    degenerative, post-traumatic or rheumatoid arthritis;

    avascular necrosis of the femoral condyle;

    post-traumatic loss of joint configuration, particularly when there is patellofemoral erosion, dysfunction or prior patellectomy:

    moderate valgus, varus or flexion deformities;

    treatment of fractures that are unmanageable using other techniques.

    This device may also be indicated in the salvage of previously failed surgical attempts. This device is intended to be used for cemented applications.

    Device Description

    The REBEL™ 3DKNEE SYSTEM is a line extension to the current 3DKNEE system. It is a total knee system that includes non-porous distal femoral implants made from cast CoCr alloy per ASTM F75, tibial insert implants made from Highly Cross-Linked with Vitamin E (HXL VE) UHMWPE, and tibial base implants made from cast CoCr alloy per ASTM F75.

    AI/ML Overview

    The provided document is a 510(k) summary for the Rebel 3DKNEE System, which is a total knee replacement system. It does not describe a study involving an algorithm or AI, nor does it present acceptance criteria or performance data in the context of an AI device. Instead, it focuses on the substantial equivalence of this knee implant system to predicate devices.

    Therefore, I cannot extract the requested information regarding acceptance criteria, device performance, sample sizes, ground truth, expert qualifications, adjudication methods, MRMC studies, or standalone algorithm performance from this document. The document explicitly states "Clinical Testing: None provided."

    The information requested is primarily relevant for studies evaluating the performance of AI/Machine Learning-enabled medical devices, which this document does not pertain to.

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