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510(k) Data Aggregation

    K Number
    K020505
    Manufacturer
    Date Cleared
    2002-04-23

    (67 days)

    Product Code
    Regulation Number
    872.4760
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    SYNTHES TRANSLATING MAXILLARY DISTRACTOR

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

    The Synthes Translating Maxillary Distractor is intended for use in craniofacial surgery, reconstructive procedures, and selective orthognathic surgery of the maxilla. Specifically it is intended for distraction of the maxilla utilizing a LeFort I osteotomy in adult and pediatric populations.

    Device Description

    The Synthes (USA) Translating Maxillary Distractor is an intra-oral distraction device. It features a distractor body with two adjustable footplate components, each with contourable legs having screw holes that are fixed to the bone via 2.0 mm or 2.4 mm cortex screws.

    AI/ML Overview

    This document is a 510(k) premarket notification for a medical device called the "Synthes (USA) Translating Maxillary Distractor." It is a regulatory submission to the FDA seeking clearance to market the device based on its substantial equivalence to a legally marketed predicate device.

    Crucially, this document does not contain information about acceptance criteria, performance studies, sample sizes, ground truth establishment, or expert involvement as it relates to AI/algorithm-driven device performance.

    The 510(k) process for devices like the Translating Maxillary Distractor, particularly from 2002, primarily focuses on demonstrating substantial equivalence to existing devices through:

    • Device description and intended use matching: Showing that the new device has similar design, materials, and purpose as a predicate.
    • Material compatibility and mechanical testing: Ensuring the materials are safe and the device can withstand expected forces. This would typically involve engineering tests, not clinical performance metrics in the way AI models are evaluated.

    Therefore, I cannot fulfill your request for the specified information because the provided text pertains to a traditional medical device submission (a mechanical surgical distractor) and not an AI/algorithm-driven diagnostic or treatment device.

    If you have a document describing an AI-powered device, I would be happy to analyze it for the criteria you've outlined.

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