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510(k) Data Aggregation

    K Number
    K220252
    Manufacturer
    Date Cleared
    2022-04-14

    (73 days)

    Product Code
    Regulation Number
    872.3630
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K120198, K203701

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

    The High Retention Attachment System is designed to support fixed, partial or full arch restorations on endosseous dental implants in the mandible or maxilla for the purpose of restory function. It is used in fixed hybrid restorations that can be attached with a snap-in system. The High Retention Attachment System is compatible with the following implants: (list of compatible implants and diameters provided in the document).

    Device Description

    The High Retention Attachment System is a system that provides rigid connection of fixed, partial, and full arch restorations (fixed/detachable hybrid dentures) to endosseous dental implants. It consists of abutments, attachment housings, inserts and seating and removal tools. The abutments are provided in various cuff heights with the implant and abutment connection specific to the Zest Anchors, LLC or OEM implant. The subject device abutments are made of titanium alloy conforming to ASTM F136 Standard Specification for Wrought Titanium-6Aluminum-4Vanadium ELI (Extra Low Interstitial) Alloy for Surgical Implant Applications (UNS R56401) and are TiN (titanium nitride) coated. The High Retention Attachment System is as provided with an abutment (LOCATOR Attachment) and the surgical instrumentation necessary to place the implant. The High Retention Attachment System is designed to accommodate a path of insertion diverqence of up to 20° per implant and no more than 40° of divergence between implants.

    AI/ML Overview

    This document describes a 510(k) premarket notification for a dental device, the "High Retention Attachment System." It does not contain information about an AI/ML-driven medical device, hence no study details are provided to address the acceptance criteria for such a device. The content is primarily focused on demonstrating substantial equivalence to a predicate device through material, design, and intended use comparisons, rather than performance testing against specific acceptance criteria for an AI algorithm.

    Therefore, I cannot provide the requested information from the provided text as it does not pertain to the performance and validation of an AI/ML medical device.

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