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510(k) Data Aggregation

    K Number
    K170596
    Device Name
    TN-Brush
    Manufacturer
    Date Cleared
    2017-09-11

    (195 days)

    Product Code
    Regulation Number
    872.4840
    Panel
    Dental
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    TN-Brush

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

    TN-Brush is a debridement instrument for titanium dental implants subjected to peri-implantitis. It is indicated for the open debridement of titanium implant surfaces in bone defects caused by peri-implantitis.

    Device Description

    Not Found

    AI/ML Overview

    I am sorry, but based on the provided text, there is no information about acceptance criteria or a study that proves the device meets acceptance criteria for the "TN-Brush." The document is an FDA 510(k) clearance letter for the device, which primarily addresses its substantial equivalence to a predicate device and general regulatory compliance.

    The document does not contain details about:

    • A table of acceptance criteria and reported device performance.
    • Sample sizes used for a test set or data provenance for any studies.
    • The number or qualifications of experts used for ground truth.
    • Adjudication methods for a test set.
    • Whether a multi-reader multi-case (MRMC) comparative effectiveness study was done, or any effect sizes related to human reader improvement with AI assistance.
    • Whether a standalone (algorithm only) performance study was done.
    • The type of ground truth used (expert consensus, pathology, outcomes data, etc.).
    • The sample size for a training set.
    • How ground truth for a training set was established.

    The provided text focuses on the regulatory clearance process for a dental device (TN-Brush) and its indicated use for debridement of titanium dental implants. It does not delve into the specifics of performance studies or acceptance criteria that would fall under the scope of AI/ML device validation.

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