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510(k) Data Aggregation

    K Number
    K990576
    Date Cleared
    1999-03-09

    (14 days)

    Product Code
    Regulation Number
    862.1155
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    OSOM CARD PREGNANCY TEST, MODEL 103

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

    The OSOM® Card Pregnancy Test is intended for the qualitative determination of human chorionic gonadotropin, hCG, in urine for early detection of pregnancy for home use.

    Device Description

    OSOM® Card Pregnancy Test uses color immunochromatographic technology with antibodies coated on the membrane. If hCG is present in urine, a blue test line will appear to indicate a positive result.

    AI/ML Overview

    Here's an analysis of the provided text to extract information about the acceptance criteria and the study that proves the device meets them:

    1. Table of Acceptance Criteria and Reported Device Performance:

    The document doesn't explicitly state "acceptance criteria" as a separate section with pass/fail thresholds. However, it presents precision data which implies the expected performance. The key performance metrics are sensitivity and specificity.

    MetricAcceptance Criteria (Implied)Reported Device Performance
    SensitivityHigh (e.g., >95%)99.1%
    SpecificityHigh (e.g., >95%)100%
    Overall Agreement (Consumer)High (e.g., >95%)100%

    2. Sample Size for the Test Set and Data Provenance:

    • Sample Size:
      • For comparison to a professional hCG test: 217 urine specimens.
      • For consumer testing: 74 participants.
    • Data Provenance: The document does not specify the country of origin. It does not explicitly state if the data was retrospective or prospective, but "consumer testing" and comparison with a "professional hCG test" imply prospective collection for evaluation.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications:

    The document broadly mentions "professional hCG test" and "clinical status" without detailing the number or specific qualifications of experts involved in establishing the ground truth for the 217 specimens or the 74 participants.

    4. Adjudication Method for the Test Set:

    The document does not describe any specific adjudication method (e.g., 2+1, 3+1). It states that the OSOM® Card Pregnancy Test was "compared to a professional hCG test, OSOM® Classic hCG Urine Test" and "consumer testing was conducted... evaluated against their clinical status." This implies a direct comparison rather than an adjudication process involving multiple human readers for discrepancies.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done:

    No, an MRMC comparative effectiveness study was not explicitly done. The study compares the device's performance to a professional test and consumer clinical status, not human readers with or without AI assistance. The device itself is a diagnostic test, not an AI-assisted interpretation tool for human readers.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done:

    Yes, a standalone performance evaluation was done. The precision data (sensitivity and specificity) of the OSOM® Card Pregnancy Test was determined by comparing its results directly to a "professional hCG test" and the "clinical status" of consumers. The OSOM® Card Pregnancy Test is a non-AI diagnostic kit, so its performance is inherently standalone.

    7. The Type of Ground Truth Used:

    • For sensitivity and specificity: Comparison to a "professional hCG test (OSOM® Classic hCG Urine Test)". This serves as a reference standard, implying it's a higher-tier or validated test used to establish the true presence or absence of hCG.
    • For overall agreement (consumer testing): "Clinical status" of the 74 participants. This likely refers to a confirmed pregnancy status obtained through other clinical means (e.g., physician diagnosis, repeat lab tests).

    8. The Sample Size for the Training Set:

    The document does not mention any training set size. This device is described as an immunochromatographic test, not a machine learning model, so the concept of a "training set" in the context of AI is not applicable here.

    9. How the Ground Truth for the Training Set Was Established:

    As there is no mention of a training set for an AI/machine learning model, this question is not applicable. The device's design and manufacturing process would be based on established chemical and biological principles for immunochromatography rather than a data-driven training process.

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