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510(k) Data Aggregation

    K Number
    K973765
    Device Name
    BIO-2000
    Date Cleared
    1998-11-04

    (398 days)

    Product Code
    Regulation Number
    872.6640
    Panel
    Dental
    Reference & Predicate Devices
    N/A
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    For use in pressurized self-contained water devices.
    For use in cleaning lines in dental units by leaving the solution (Bio2000), dispensed by a pressurized device, overnight (similar period of time) or use continuously. Cleaning lines refers to the reduction of microbial contamination.
    For use in operative procedures to dedicated coolant (water) line for air or electric driven handpieces and scalers. Use of this device and solution will increase cutting efficiency and decrease the bad odors and tastes that occur during operative procedures while decreasing microbial contamination of the lubing.

    Device Description

    Not Found

    AI/ML Overview

    I am sorry, but the provided documents do not contain information typically found in a study describing acceptance criteria and device performance. The documents are a regulatory letter from the FDA regarding a 510(k) submission for a device called "Bio-2000" and the device's indications for use.

    To fulfill your request, I would need a different type of document, such as:

    • A clinical study report
    • A performance evaluation report
    • A regulatory submission document that includes detailed testing results.

    The current documents only state that the device is "substantially equivalent" to legally marketed predicate devices and outline its intended uses for cleaning dental unit lines and improving operative procedures by reducing microbial contamination. They do not provide:

    • A table of acceptance criteria or reported device performance metrics (e.g., sensitivity, specificity, accuracy, precision, etc.).
    • Information on sample sizes, data provenance, expert qualifications, or adjudication methods for a test set.
    • Details about MRMC comparative effectiveness studies or standalone algorithm performance.
    • The type of ground truth used or how it was established for training or testing sets.
    • Sample size for a training set.

    Therefore, I cannot extract the requested information from the provided text.

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