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510(k) Data Aggregation

    K Number
    K083304
    Device Name
    TEMPOSIL 2
    Date Cleared
    2009-02-06

    (88 days)

    Product Code
    Regulation Number
    872.3275
    Panel
    Dental
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    TEMPOSIL 2

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

    TempoSIL 2 is indicated for

    • temporary cementation of provisional restorations
    • temporary cementation of provisional restorations on implant abutments
    • temporary cementation of final crown and bridges
    • temporary cementation of final crowns and bridges on implant abutments
    Device Description

    Not Found

    AI/ML Overview

    I am sorry, but based on the provided text, there is no information about the acceptance criteria or a study that proves the device meets any acceptance criteria.

    The document is a 510(k) premarket notification letter from the FDA to Coltene/Whaledent AG for a dental cement called "Temposil 2". It states that the device is substantially equivalent to legally marketed predicate devices. The letter primarily focuses on regulatory compliance, outlining the requirements for marketing the device under the Federal Food, Drug, and Cosmetic Act.

    The document includes:

    • The trade/device name: Temposil 2
    • Regulation Number and Name: 872.3275, Dental Cement
    • Regulatory Class: II
    • Product Code: EMA
    • Date of FDA review and receipt of the notification.
    • A confirmation of substantial equivalence.
    • A list of general controls and additional controls the device may be subject to.
    • Contact information for various FDA offices.
    • The Indications for Use statement for TempoSIL 2.

    There is no mention of:

    1. A table of acceptance criteria and reported device performance.
    2. Sample sizes for a test set or data provenance.
    3. Number and qualifications of experts for ground truth establishment.
    4. Adjudication methods.
    5. Multi-reader multi-case (MRMC) comparative effectiveness studies.
    6. Standalone algorithm performance studies.
    7. Type of ground truth used.
    8. Sample size for the training set.
    9. How ground truth for the training set was established.
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