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510(k) Data Aggregation

    K Number
    K060071
    Date Cleared
    2006-01-26

    (17 days)

    Product Code
    Regulation Number
    888.3040
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Nexa Compression Screw is indicated for bone reconstruction, osteotomy, arthrodesis, joint fusion, fracture repair, and fracture fixation of bones appropriate for the size of the device.

    Device Description

    The Nexa Compression Screw is made of 316L Stainless Steel, per ASTM F138, and is intended to be implanted into the bones of the foot and hand, and bones appropriate for the size of the device. The screws are provided in three diameters of various lengths. No new materials are used in the development of this implant.

    AI/ML Overview

    This document, K060076, is a 510(k) Summary for a medical device called the "Nexa Compression Screw." It does not describe an AI/ML medical device. Therefore, a study proving the device meets acceptance criteria related to AI/ML performance metrics (like sensitivity, specificity, or reader improvement) is not applicable and not present in the provided text.

    The information provided describes a traditional medical device (a surgical implant) and its substantial equivalence to predicate devices, which is the regulatory pathway for such devices.

    Here's a breakdown of why the requested information about acceptance criteria and study proving performance cannot be extracted for an AI/ML device:

    1. AI/ML Device Implication: The request is designed for AI/ML devices that generate data, such as images, interpretations, or diagnostic aids.
    2. Device Type: The Nexa Compression Screw is a physical implant made of 316L Stainless Steel. Its performance is evaluated through material properties, mechanical testing, and clinical use cases, not through algorithmic output.
    3. Regulatory Pathway: The 510(k) pathway for this device focuses on demonstrating "substantial equivalence" to existing, legally marketed predicate devices, primarily through comparison of materials, design, indications for use, and mechanical characteristics. It does not typically involve clinical studies with performance metrics like those for AI/ML algorithms.

    Therefore, I cannot provide the requested table or details about AI/ML performance for K060076 as it is not an AI/ML medical device.

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