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510(k) Data Aggregation

    K Number
    K162482
    Date Cleared
    2017-09-15

    (374 days)

    Product Code
    Regulation Number
    872.3640
    Panel
    Dental
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    A. B. Dental Device Ltd.

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

    A.B. DENTAL DEVICES® Dental Implants System is indicated for use in surgical and restorative applications for placement in the bone of the upper or lower jaw to provide support for prosthetic devices, such as artificial teeth, in order to restore the patient's chewing function. A.B. DENTAL DEVICES® Dental Implants System is indicated also for immediate loading when good primary stability is achieved and with appropriate occlusal loading.

    Two Stage Implants: I22, I5, I55, I10.

    P4 and P14 angled abutments are to be used only with standard platform implants 3.5 mm in diameter or larger.

    Device Description

    A.B. DENTAL DEVICES® Dental Implants System consists of one and two stage endosseous form dental implants, internal hexagonal and one piece implants systems. Narrow platform implants are to be used with straight abutments only. The following components are being added:

    ImplantPlatformDiameter, mmLength, mm
    I22Standard3.758, 10, 11.5, 13, 16
    4.28, 10, 11.5, 13, 16
    4.58, 10, 11.5, 13, 16
    58, 10, 11.5, 13, 16
    I5Narrow3.310, 11.5, 13, 16
    I55Narrow3.310, 11.5, 13, 16
    3.58, 10, 11.5, 13, 16
    Standard3.758, 10, 11.5, 13, 16
    4.28, 10, 11.5, 13, 16
    4.58, 10, 11.5, 13, 16
    58, 10, 11.5, 13, 16
    68, 10, 11.5, 13, 16
    I10Standard4.510, 11.5, 13, 16

    Abutments:

    • P0-14 Healing caps, 2.5 7 mm heights .
    • P3-5 straight abutments, 5 mm diameter, 7 9 mm length ●
    • P4 angled abutments, 15 - 25 degree angulation, standard platform, standard and long lengths
    AI/ML Overview

    This is a 510(k) summary for a dental implant system. The document focuses on demonstrating substantial equivalence to a predicate device rather than providing extensive performance data against specific acceptance criteria for a novel AI/ML device. Therefore, much of the requested information regarding AI/ML device performance studies is not available in this document.

    Here's an analysis of the provided text based on your request, highlighting what is present and what is not:

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

    The document does not provide a table of acceptance criteria in the typical sense for an AI/ML device, as it describes a dental implant system. The performance data presented are primarily related to mechanical and biological safety, not diagnostic accuracy or effectiveness against quantifiable metrics for an AI system.

    However, we can infer some "performance data" or testing performed:

    Test PerformedReported Device Performance
    Fatigue testing per ISO 14801:2007Performed on worst-case implant and abutment combination for standard platform implants and abutments. Engineering analysis to determine novel worst-cases. (Implication: Device withstands fatigue as per standard)
    Cytotoxicity testing per ISO 10993-5Performed. (Implication: Device is biocompatible)
    Biological risk assessmentPerformed. (Implication: Risks are assessed and managed)
    Gamma sterilization validation per ISO 11137Validated. (Implication: Device is sterile)
    Steam sterilization validation per ANSI/AAMI/ISO 17665-1:2006Validated. (Implication: Device is sterile)
    Packaging validation and accelerated shelf-life testingPerformed. (Implication: Packaging maintains sterility, shelf life is established)
    LAL testingPerformed. (Implication: Device is endotoxin-free)

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

    This information is not provided. The performance data listed (fatigue, cytotoxicity, sterilization, etc.) are standard engineering and biological tests for medical devices, not clinical studies with patient data.

    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)

    This information is not applicable and not provided. The "ground truth" for these tests relates to established standards and physical/chemical properties, not expert consensus on medical images or patient outcomes.

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

    This information is not applicable and not provided.

    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

    This information is not applicable and not provided. This is a conventional dental implant, not an AI-powered device.

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

    This information is not applicable and not provided.

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

    The ground truth for the performance tests (fatigue, cytotoxicity, sterilization) would be the established international standards themselves (ISO 14801, ISO 10993-5, ISO 11137, ANSI/AAMI/ISO 17665-1) and their defined pass/fail criteria. For LAL testing, it would be the absence of endotoxins as per FDA guidance.

    8. The sample size for the training set

    This information is not applicable and not provided. This is not an AI/ML device.

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

    This information is not applicable and not provided. This is not an AI/ML device.

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