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510(k) Data Aggregation

    K Number
    K231990
    Device Name
    Apex Locator
    Manufacturer
    Date Cleared
    2024-02-13

    (223 days)

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

    APEX LOCATOR is a device intended for locating the apex of the root canal during endodontic treatments.

    Device Description

    APEX LOCATOR is a device used in dentistry to estimate the position of the root apex of teeth during root canal preparation. It is used connected with the Cefla dental units. Its principle of operation relies on measuring the electrical impedance of dental tissue, which varies according to tissue density and composition. The APEX LOCATOR is an accessory device for the Cefla dental units used to estimate the position of the root apex of teeth during root canal preparation. The kit is composed of the following elements: file clip (2 pieces), lip hook (4 piece), external wiring (1 piece).

    AI/ML Overview

    The provided text is a 510(k) summary for an "Apex Locator" device. It outlines the device, its intended use, and its substantial equivalence to a predicate device. However, it does not include information about AI/ML models, clinical studies for AI device performance, or acceptance criteria and proven performance related to such models.

    The document explicitly states: "Clinical performance testing was not conducted." This directly indicates that there is no data to address the points in your request that pertain to acceptance criteria and study proving performance for an AI/ML device.

    Therefore, I cannot provide the requested information because the document describes a traditional medical device (an Apex Locator based on electrical impedance measurement) and not an AI/ML-driven device. The review focuses on substantial equivalence based on technological characteristics and non-clinical performance (electrical safety, EMC, usability, biocompatibility, reprocessing validation), not on AI/ML model performance.

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