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510(k) Data Aggregation

    K Number
    K043095
    Date Cleared
    2004-11-23

    (14 days)

    Product Code
    Regulation Number
    862.1150
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Elecsys AFP CalSet II is used for calibrating the quantitative AFP assay on the Elecsys immunoassay systems.

    Device Description

    The Elecsys® AFP CalSet II consists of a lyophilized human serum matrix with added AFP in two concentrations.

    AI/ML Overview

    The provided text describes a 510(k) summary for the "Elecsys® AFP CalSet II" device, which is a calibrator for an immunoassay system. It does not contain information about acceptance criteria or a study proving the device meets those criteria in the context of device performance metrics like sensitivity, specificity, or accuracy for diagnosing conditions.

    The document primarily focuses on demonstrating substantial equivalence to a predicate device (Elecsys® AFP Calset, K981282) by comparing their intended use, matrix, storage form, levels, standardization, and stability.

    Therefore, most of the requested information cannot be extracted from the provided text.

    Here's an analysis based on the information provided:

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

    • Not Available: The document does not specify acceptance criteria for clinical or analytical performance metrics (e.g., accuracy, precision, bias) for the calibrator itself. The comparison table focuses on the characteristics of the calibrator device and its predicate.

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

    • Not Available: The document describes a calibrator and its characteristics, not a diagnostic test with a "test set" in the traditional sense of patient samples. Therefore, no information on sample size or data provenance for a test set is provided.

    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)

    • Not Applicable/Not Available: This question is relevant for diagnostic devices that interpret patient data, where expert review is used to establish ground truth for a test set. This document describes a calibrator; therefore, this information is not relevant or provided.

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

    • Not Applicable/Not Available: As with point 3, this is not relevant for a calibrator device.

    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

    • Not Applicable: This document describes a calibrator, not an AI-assisted diagnostic device. Therefore, no MRMC study or AI-related information is provided.

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

    • Not Applicable: This is a calibrator, not an algorithm, so a standalone performance study is not relevant.

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

    • Not Applicable: The concept of "ground truth" in the context of diagnostic accuracy for patient samples does not apply to a calibrator itself. The calibrator is standardized against a reference standard (1st IRp WHO reference standard 72/225), which serves as its "truth" for concentration determination.

    8. The sample size for the training set

    • Not Applicable/Not Available: This information pertains to machine learning models, which are not described in the context of this calibrator product.

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

    • Not Applicable/Not Available: See point 8.
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