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510(k) Data Aggregation

    K Number
    K083664
    Date Cleared
    2009-01-09

    (30 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The FORA TD-4245 Blood Glucose Monitoring System is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the following alternative sites: the palm, the forearm, the upper-arm, the calf and the thigh. It is intended for use by healthcare professionals and people with diabetes mellitus at home as an aid in monitoring the effectiveness of diabetes control program. It is not intended for the diagnosis of or screening for diabetes mellitus, and is not intended for use on neonates.

    The alternative site testing in the FORA TD-4245 Blood Glucose Monitoring System can be used only during steady-state blood glucose conditions.

    The FORA TD-4245 Blood Glucose Monitoring System contains a speaking functionality which provides step by step instructions to aid visually impaired persons.

    Device Description

    Not Found

    AI/ML Overview

    This document is a 510(k) clearance letter for the FORA TD-4245 Blood Glucose Monitoring System, not a study report. Therefore, it does not contain the detailed information necessary to fully answer all aspects of your request regarding acceptance criteria and a study proving the device meets those criteria.

    However, based on the information provided in this regulatory document, I can infer and state what is available:

    1. A table of acceptance criteria and the reported device performance

    This document does not provide a table of acceptance criteria nor reported device performance data. 510(k) clearance letters generally confirm that a device has been found substantially equivalent to a predicate device, rather than detailing the specific performance metrics and acceptance thresholds met by the applicant device. Such detailed data would typically be in the 510(k) submission itself, which is not provided here.

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    This information is not available in the provided 510(k) clearance letter.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    This information is not available in the provided 510(k) clearance letter. In the context of a blood glucose monitor, "ground truth" would typically be established by a reference laboratory method, not by human experts.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    This information is not available in the provided 510(k) clearance letter.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    A blood glucose monitoring system is a diagnostic device that measures a physiological parameter. It does not involve "readers" in the context of image interpretation or clinical decision-making that would necessitate an MRMC study or AI assistance for human readers. Therefore, this type of study is not applicable to this device and no such information is provided.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    This statement is also not applicable in the typical sense for a blood glucose meter. The device itself is an "algorithm only" device in that it processes a blood sample to provide a glucose reading. Its performance is evaluated in direct comparison to a reference method (e.g., YSI analyzer), rather than requiring a "human-in-the-loop" for interpretation of the primary result. The mentioned "speaking functionality" aids visually impaired persons, but this is an accessibility feature, not part of the core diagnostic algorithm's standalone performance evaluation methodology.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    For a blood glucose monitoring system, the "ground truth" is typically established by measurements from a highly accurate and precise reference laboratory instrument, such as a YSI glucose analyzer. The clearance letter does not explicitly state this, but it is the standard practice for validating such devices.

    8. The sample size for the training set

    This information is not available in the provided 510(k) clearance letter.

    9. How the ground truth for the training set was established

    This information is not available in the provided 510(k) clearance letter. As mentioned in point 7, it would typically be established using a reference laboratory instrument.

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