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510(k) Data Aggregation

    K Number
    K993095
    Manufacturer
    Date Cleared
    1999-12-09

    (84 days)

    Product Code
    Regulation Number
    872.3640
    Panel
    Dental
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    FRIALIT-2 SELECT COMPONENTS

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

    The Select Components of the FRIALIT-2® Dental Implant System are indicated for use in the determination of implant placement, implant angle and to measure the available soft tissue height. The Select Components can also be used in determining the potential abutment angle and soft tissue height.

    Device Description

    The FRIALIT-2 Select Components are part of the FRIALIT-2 Dental Implant System. The components consist if the FRIALIT-2 Select Sleeve, FRIALIT-2 Select Try-in Implant, and FRIALIT-2 Select try-in Abutment. The components come in the same diameters as the implant bodies and are color coded to correspond to size. The components can be used in the patient and/or the laboratory model to help in the determination of implant placement, abutment and implant angle and available soft tissue height.

    AI/ML Overview

    This is a 510(k) premarket notification for a medical device, specifically dental implant components. This type of submission focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than presenting a study demonstrating the device meets pre-defined acceptance criteria in the same way a de novo or PMA submission might. Therefore, many of the requested elements regarding acceptance criteria and a study to prove meeting them are not typically part of a 510(k) notification from this era.

    Based on the provided text, here's what can be extracted:

    1. A table of acceptance criteria and the reported device performance

    The concept of "acceptance criteria" for performance metrics like sensitivity, specificity, or accuracy, and a "reported device performance" against those criteria, is not present in this 510(k) submission. A 510(k) primarily demonstrates substantial equivalence in design, material, and functionality to a predicate device.

    Acceptance Criteria (Not Explicitly Stated)Reported Device Performance (Implied)
    Design similar to predicate deviceFRIALIT-2 Select Components are similar in design to the predicate.
    Material similar to predicate deviceFRIALIT-2 Select Components are similar in material to the predicate.
    Functionality similar to predicate deviceFRIALIT-2 Select Components are similar in functionality to the predicate.
    Intended Use similar to predicate deviceThe intended use for the FRIALIT-2 Dental Implant System (which these components are part of) is for single tooth restorations, edentulous spans restored with multiple single teeth, free-standing bridges and to retain overdentures, and can be used for immediate, delayed immediate, or late implant placement. The Select Components specifically aid in the determination of implant placement, implant/abutment angle, and available soft tissue height. This is considered substantially equivalent to the predicate device.
    Available in corresponding diametersComponents are available in diameters corresponding to the implant bodies.
    Color-coded for ease of useComponents are color-coded for ease of use.

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    Not applicable. This 510(k) submission does not describe a clinical study with a test set of data in the context of AI/software performance. It's a submission for physical dental components.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    Not applicable. As above, there is no study described that would involve establishing ground truth by experts for a test set.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    Not applicable. There is no test set or adjudication process described.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This is not an AI/software device and no MRMC study is mentioned.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable. This is not an algorithm/software device.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    Not applicable. The concept of "ground truth" as it relates to evaluating an algorithm's performance is not applicable to this submission for physical dental components. The "ground truth" in this context would be the predicate device's established safety and effectiveness.

    8. The sample size for the training set

    Not applicable. There is no training set for an algorithm described.

    9. How the ground truth for the training set was established

    Not applicable. There is no training set mentioned.

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