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510(k) Data Aggregation

    K Number
    K111231
    Device Name
    PANOURA 18S
    Date Cleared
    2011-07-13

    (72 days)

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

    PANOURA 18S

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

    The PANOURA 18S dental panoramic and cephalometric device is intended for dental radiographic examinations of teeth, jaw and TMJ areas by producing conventional 2D X-ray images as well as X-ray projection images. The device must only be operated and used by dentists and other legally qualified professionals.

    Device Description

    The PANOURA 18S dental panoramic and cephalometric device is intended for dental radiographic examinations of teeth, jaw and TMJ areas by producing conventional 2D X-ray images as well as X-ray projection images. The PANOURA 18S is equipped with an X-ray generator and a Sensor unit at Arm unit supported by Column unit and Sliding body unit. While rotating around the patient's teeth and jaw, the PANOURA 18S irradiates X-ray and detects X-ray absorbed data at the Sensor unit multiple times. Detected multiple data are transferred to an image processing unit and the data are superimposed with appropriate shift value according to the X-ray moving speed from the arm rotation to acquire image.

    AI/ML Overview

    The Panoura 18S is an extraoral x-ray system, which is a medical device and not an AI/ML algorithm. The provided documentation does not contain information about acceptance criteria or a study proving the device meets those criteria in the context of AI/ML performance. Instead, the document focuses on demonstrating substantial equivalence to a predicate device (ORTHOPANTOMOGRAPH K093683) by comparing technical, operational, and intended use characteristics, and compliance with recognized consensus or voluntary standards for medical electrical equipment and radiation protection.

    Therefore, I cannot provide the requested information regarding AI/ML acceptance criteria and performance studies. The provided text describes a traditional medical device submission, not an AI/ML-driven one.

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