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510(k) Data Aggregation

    K Number
    K073506
    Manufacturer
    Date Cleared
    2008-03-07

    (85 days)

    Product Code
    Regulation Number
    862.2570
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    LUMINEX LX 100/200 INSTRUMENT

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

    The Luminex LX 100/200 Instrument is a clinical multiplex test system intended to measure and sort multiple signals generated in an In Vitro Diagnostic assay from a clinical sample. This instrumentation is used with a specific assay to measure multiple similar analytes that establish a single indicator to aid in diagnosis. The device includes a signal reader unit, raw data storage mechanisms, data acquisition software and software to process detected signals.

    Device Description

    The device includes a signal reader unit, raw data storage mechanisms, data acquisition software and software to process detected signals.

    AI/ML Overview

    I am sorry, but the provided text does not contain the information requested to describe the acceptance criteria and the study that proves the device meets the acceptance criteria. The document is an FDA 510(k) clearance letter for the Luminex LX 100/200 Instrument, stating that the device is substantially equivalent to legally marketed predicate devices.

    The document includes:

    • The device name and 510(k) number.
    • The intended use of the device.
    • Regulatory information such as regulation number, regulatory class, and product code.

    However, it does not contain the following information that you requested:

    1. A table of acceptance criteria and reported device performance.
    2. Sample size used for the test set and data provenance.
    3. Number of experts and their qualifications for establishing ground truth.
    4. Adjudication method.
    5. Multi-reader multi-case (MRMC) comparative effectiveness study results.
    6. Standalone (algorithm only) performance.
    7. Type of ground truth used.
    8. Sample size for the training set.
    9. How ground truth for the training set was established.

    Therefore, I cannot fulfill your request based on the provided text.

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