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510(k) Data Aggregation

    K Number
    K980581
    Manufacturer
    Date Cleared
    1998-04-17

    (59 days)

    Product Code
    Regulation Number
    872.1800
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    PLANMECA DIXI, DIGITAL INTRAORAL X-RAY IMAGING SYSTEM

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

    The Planmeca Dixi is a Digital Intraoral X-ray Imaging System, which is an accessory to Intraoral X-ray devices, i.e. extraoral source x-ray systems with intraoral image receptors. It is intended for dental radiographic examination and diagnosis of diseases of the teeth, jaw, and oral structures. The Dixi is using intraoral x-ray sensor technique, with images displayed on a monitor, and image manipulation, archiving and communication are performed via a computer.

    Device Description

    The Planmeca Dixi is a Digital Intraoral X-ray Imaging System, which is an accessory to Intraoral X-ray devices, i.e. extraoral source x-ray systems with intraoral image receptors. The Dixi is using intraoral x-ray sensor technique, with images displayed on a monitor, and image manipulation, archiving and communication are performed via a computer.

    AI/ML Overview

    I am sorry, but the provided text from the FDA letter and the "Indications for Use" enclosure from Planmeca OY, while related to regulatory approval for a dental X-ray system, does not contain the specific information required to answer your request regarding acceptance criteria and a detailed study proving device performance.

    The documents focus on:

    • The FDA's decision of substantial equivalence for the Planmeca Dixi system to a predicate device.
    • The general regulatory class and applicable regulations.
    • The intended use of the device for dental radiographic examination and diagnosis.

    There is no mention of:

    • Specific acceptance criteria for performance metrics (e.g., sensitivity, specificity, accuracy).
    • Details of a study conducted to prove the device meets such criteria.
    • Sample sizes, data provenance, expert qualifications, or ground truth methodologies for any performance study.
    • Information about MRMC studies, standalone algorithm performance, or training set details.

    Therefore, I cannot generate the table or provide the detailed answers to your numbered points based on the provided text.

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