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510(k) Data Aggregation

    K Number
    K112104
    Manufacturer
    Date Cleared
    2011-08-25

    (34 days)

    Product Code
    Regulation Number
    862.1660
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Elecsys N-MID Osteocalcin CalCheck 5 is an assayed control for use in calibration verification and for use in the verification of the assay range established by the Elecsys N-MID Osteocalcin reagent on the indicated Elecsys and cobas e immunoassay analyzers.

    Device Description

    The Elecsys N-MID Osteocalcin CalCheck 5 is a lyophilized product consisting of synthetic osteocalcin in a human serum matrix. During manufacture, the analyte is spiked into the matrix at the desired concentration levels.

    AI/ML Overview

    The provided document is a 510(k) summary for the Elecsys N-MID Osteocalcin CalCheck 5. This device is a quality control material, and the provided text does not contain specific acceptance criteria, a study proving performance, or detailed information about test sets, ground truth establishment, or training sets in the way that would typically be described for a diagnostic device that detects or measures a specific condition in patient samples.

    Instead, the document details the device's intended use, its comparison to a predicate device (another control material), and its stability. The evaluation of performance characteristics mentioned is related to "value Performance Characteristics assignment and stability," which refers to how accurately the control material's known values are established and maintained over time.

    Therefore, many of the requested fields cannot be filled from the provided text, as they pertain to clinical or diagnostic studies that are not relevant to a quality control material's 510(k) submission in this context.

    Here's an attempt to answer the questions based only on the provided information, noting where information is not available:

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

    The document does not explicitly state "acceptance criteria" in a numerical or categorical format for the device's performance in the way a diagnostic device would. It mentions "evaluation for value Performance Characteristics assignment and stability." The stability aspect has a specific reported performance.

    Acceptance Criteria Category (Implied from differences with predicate)Reported Device Performance (from "Differences" section)
    Intended UseNot applicable here, as it's a description of function, not a performance metric.
    Stability (Reconstituted at 20-25°C)5 hours
    AnalyteOsteocalcin

    2. Sample size used for the test set and the data provenance

    • Sample Size: Not specified for performance evaluation.
    • Data Provenance: Not specified.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable. This device is a control material with pre-determined concentrations (known values), not a diagnostic device requiring expert interpretation of results to establish ground truth.

    4. Adjudication method for the test set

    Not applicable.

    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 study type is for diagnostic devices, particularly those involving human interpretation, often with AI assistance. This device is a quality control material.

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

    Not applicable. This device is a quality control material, not an algorithm.

    7. The type of ground truth used

    For a quality control material, the "ground truth" for its performance is its assigned value and its stability. The document states: "During manufacture, the analyte is spiked into the matrix at the desired concentration levels." This indicates the known concentrations are established during manufacturing.

    8. The sample size for the training set

    Not applicable. This device is a quality control material, not a machine learning algorithm that requires a training set.

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

    Not applicable.

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