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510(k) Data Aggregation

    K Number
    K221450
    Date Cleared
    2022-09-12

    (117 days)

    Product Code
    Regulation Number
    872.3200
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Phosphoric Acid Etching Gel

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

    Used for etching of tooth enamel and/or dentin prior to the applications of bonding direct filling, repairing or enamel surface coating materials, as well as cementations such as crowns, bridges, inlays/onlays, veneers, posts, splints, orthodontic brackets, etc. made of resin composites, porcelains/ceramics, metals and their combinations. Can also be used for cleaning of restoration surfaces prior to repairing or cementation.

    Device Description

    Phosphoric Acid Etching Gel is a flowable gel with excellent water solubility and miscibility. Using a disposable dispensing tip, Phosphoric Acid Etching Gel can be directly applied onto the tooth surface. Its color is blue, which can be identified easily on tooth or a repairing surface with contrast. Phosphoric Acid Etching Gel is used as an auxiliary material in the dental bonding procedure followed by the use of Light Cure Dental Adhesive.

    AI/ML Overview

    The provided text is a 510(k) summary for the Phosphoric Acid Etching Gel. This document describes the device and its equivalence to a predicate device based on physical and chemical properties and technological characteristics, not on a study proving a diagnostic device meets acceptance criteria.

    Therefore, the requested information regarding acceptance criteria, device performance studies, sample sizes, expert ground truth, adjudication methods, MRMC studies, standalone performance, training set details, and ground truth establishment methods cannot be extracted from this document.

    This document focuses on regulatory approval based on demonstrating substantial equivalence to a legally marketed predicate device, rather than presenting a performance study for a diagnostic AI/ML device.

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