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510(k) Data Aggregation

    K Number
    K072717
    Manufacturer
    Date Cleared
    2007-12-12

    (78 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 BILI CAL is an in vitro diagnostic product for the calibration of the Direct Bilirubin (DBIL) and Total Bilirubin (TBIL) methods on the Dimension Vista® System.

    Device Description

    The BILI calibrator is a two level calibrator. Level 1, purified system water, is provided on-board the Dimension Vista® System. Level 2 is a liquid, bovine serum albumin based material spiked with ditaurobilirubin and traceable to NIST Standard Reference Material 916a.

    AI/ML Overview

    This 510(k) summary describes a calibrator device, not a diagnostic device that processes patient data. Therefore, many of the requested categories (e.g., sample size for test set, number of experts, adjudication method, MRMC study, training set information) are not applicable as they pertain to the evaluation of diagnostic performance on patient samples.

    The document focuses on demonstrating substantial equivalence to a predicate calibrator.

    Here's the information that can be extracted based on the provided text:

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

    The document does not explicitly state "acceptance criteria" for the calibrator's performance against specific metrics (e.g., accuracy, precision). Instead, the submission focuses on demonstrating substantial equivalence to a predicate device by comparing attributes. The "performance" reported primarily relates to the characteristics of the calibrator itself rather than measured performance in a study against acceptance criteria.

    AttributePredicate Device (TDBIL Calibrator) Reported PerformanceProposed Device (BILI Calibrator) Reported Performance
    Intended UseCalibration of DBIL and TBIL methods on Dimension Vista™ SystemCalibration of DBIL and TBIL methods on Dimension Vista® System
    AnalyteDitaurobilirubinDitaurobilirubin
    MatrixHuman SerumBovine Serum
    LevelsOne (CAL A) + on-board purified system water (Level 1)One (CAL A) + on-board purified system water (Level 1)
    Bilirubin Conc. Level 2 (Total, mg/dL)27.527.5
    Bilirubin Conc. Level 2 (Direct, mg/dL)19.2517.5
    FormLyophilizedLiquid
    Volume3 vials, 1 mL each (hydrated)3 vials, 2.5 mL each
    TraceabilityNIST SRM 916aNIST SRM 916a

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

    • Not Applicable. This is a calibrator, not a diagnostic device evaluated on patient samples. The document focuses on the characteristics of the calibrator itself and its substantial equivalence to a predicate calibrator. There is no "test set" of patient data in the context of diagnostic performance.

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

    • Not Applicable. See explanation above. The ground truth for the calibrator's concentration is established by traceability to NIST Standard Reference Material 916a, not by expert consensus on biological samples.

    4. Adjudication method for the test set

    • Not Applicable. See explanation above.

    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 is a calibrator, not an AI-assisted diagnostic device.

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

    • Not Applicable. This is a calibrator; there is no "algorithm" in the sense of a diagnostic interpretation model.

    7. The type of ground truth used

    • For the calibrator values: The calibrator's values are traceable to NIST Standard Reference Material (SRM) 916a. This serves as the ground truth for the bilirubin concentrations.

    8. The sample size for the training set

    • Not Applicable. This is a calibrator, not a machine learning algorithm that requires a training set.

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

    • Not Applicable. See explanation above.
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