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510(k) Data Aggregation

    K Number
    K990049
    Manufacturer
    Date Cleared
    1999-03-12

    (64 days)

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

    CD-DENT DIGITAL IMAGING DEVICES FOR DENTAL X-RAY SYSTEMS, MODELS 600, 1000 AND 2000

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

    The CD-Dent Digital Imaging Devices for Dental X-Ray Systems are intended for digital dental radiography using a phosphor storage screen for radiographic diagnostic intraoral and extraoral images.

    Device Description

    The CD-Dent Digital Imaging Devices for Dental X-Ray Systems are filmless systems intended for digital intraoral, extraoral and cephalometric radiography using a phosphor storage screen. They enable the dentist to scan or import images for display, review or storage in a database. They consist of reusable phosphor storage screens for recording radiographic images, an image reader/digitizer, and software for displaying, enhancing, and storing dental radiographs using a userprovided personal computer.

    AI/ML Overview

    This 510(k) summary (K990049) for the CD-Dent Digital-Imaging Device for Dental X-Ray Systems does not contain detailed information about acceptance criteria or a specific study proving the device meets those criteria. The provided document is primarily an administrative summary for a 510(k) submission, confirming the device's substantial equivalence to predicate devices.

    Therefore, many of the requested details about acceptance criteria, study design, and performance metrics are not available in this document. The summary focuses on product description, intended use, and a list of predicate devices.

    However, I can extract the available information and state where information is missing:


    Response based on K990049 Summary:

    1. Table of Acceptance Criteria and Reported Device Performance

    Not available in the provided document. The 510(k) summary does not list specific acceptance criteria or provide a table of reported device performance against such criteria. The FDA's decision of substantial equivalence in this context typically relies on demonstrating that the new device is as safe and effective as a legally marketed predicate device, often through engineering analysis, performance testing, and comparison of technical characteristics, rather than explicitly stated acceptance criteria and a detailed performance table in the summary.

    2. Sample Size Used for the Test Set and Data Provenance

    Not available in the provided document. The 510(k) does not describe a specific clinical or performance test set, its sample size, or the provenance of any data used for such a test.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

    Not available in the provided document. No information is given regarding ground truth establishment, experts, or their qualifications.

    4. Adjudication Method for the Test Set

    Not available in the provided document. No mention of an adjudication method is made.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    Not available in the provided document. The summary does not indicate that an MRMC comparative effectiveness study was performed, nor does it discuss human reader improvement with or without AI assistance. The device is described as an "Accessory to Electrostatic X-Ray imaging system," which implies it is for image acquisition and display, not an AI diagnostic tool in the modern sense.

    6. Standalone (Algorithm Only) Performance Study

    Partially available/Inferable, but no specific study details. The core of a 510(k) submission for an imaging device often includes technical performance data to demonstrate that the device produces images of comparable quality to predicate devices. While a formal "standalone" algorithm performance study in the context of AI isn't detailed, the substantial equivalence determination implies that the imaging system itself (the "digitizer" and "software for displaying, enhancing, and storing dental radiographs") has met performance expectations. However, no specific study, metrics, or results are provided in this summary.

    7. Type of Ground Truth Used

    Not available in the provided document. The document does not specify any type of ground truth used for performance evaluation (e.g., expert consensus, pathology, outcomes data).

    8. Sample Size for the Training Set

    Not applicable/Not available in the provided document. Given the device is an "Accessory to Electrostatic X-Ray imaging system" and was approved in 1999, it is highly unlikely to involve machine learning or "AI" in the contemporary sense, which would require a training set. Therefore, there's no mention of a training set or its size.

    9. How the Ground Truth for the Training Set Was Established

    Not applicable/Not available in the provided document. As there is no indication of a training set, this information is not provided.

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