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510(k) Data Aggregation

    K Number
    K071955
    Manufacturer
    Date Cleared
    2007-11-01

    (108 days)

    Product Code
    Regulation Number
    868.1900
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    KARMEL SONIX

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

    The WIM-PCTM is intended for the analysis, interpretation and documentation of lung sounds. The WIM-PC™ is indicated for use by or under the supervision of a physician while carrying out a provocation test, administering a bronchodilator or performing a physical examination in pulmonary function testing environment when there is a need for performing an acoustic pulmonary function measurement that quantifies the presence of wheezing. It is also indicated when there is a need to listen to amplified and filtered breath sounds.

    Device Description

    The WIM-PC™ is a computer based electronic stethoscope that utilizes two contact sensors simultaneously to acquire, amplify, filter, record and analyze pulmonary sounds from the trachea and thorax and provides high fidelity audio outputs, visual displays and printed reports. The WIM-PCTM system consists of: Acoustic sensors (attached to the patient using adhesive pads), Sensor pod with a built-in dielectric microphone for ambient noise pick-up, Tension-sensitive respiration belt, A/D data acquisition device, USB cable and signal cable, Laptop PC unit with Data Analysis software.

    AI/ML Overview

    The provided document is a 510(k) summary for the WIM-PCTM device by KarmelSonix Israel Ltd. It focuses on demonstrating substantial equivalence to a predicate device (PulmoTrack™ model 1010) and outlines the validation tests performed. However, it does not contain detailed information about specific acceptance criteria, comprehensive study results (like sensitivity/specificity, effect sizes), or the detailed methodology of how ground truth was established for a testing or training set in the way a clinical study report would.

    Therefore, I can only extract limited information based on what is present in the document.

    Here's a breakdown of what can be inferred and what is missing:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document mentions "Wheeze detection validation test" and "Breath detection validation test" as performed on the software, but it does not provide specific numerical acceptance criteria (e.g., minimum sensitivity, specificity, or agreement rates) nor does it report the quantitative performance results of these tests.

    CriterionAcceptance Criteria (Not explicitly stated in document)Reported Device Performance (Not explicitly stated in document)
    Software: Wheeze DetectionN/A (implied successful validation)N/A
    Software: Breath DetectionN/A (implied successful validation)N/A
    Hardware Components:
    Tension-sensitive Respiration BeltN/A (electrical response, respiratory activity)N/A
    Acoustic sensorsN/A (frequency response, sensitivity)N/A
    Front End performanceN/AN/A
    Packaging: System integrityN/AN/A

    2. Sample Size and Data Provenance for the Test Set

    The document does not specify the sample size used for the "Wheeze detection validation test" or "Breath detection validation test." It also does not mention the data provenance (e.g., country of origin, retrospective or prospective nature of the data).

    3. Number of Experts and Qualifications for Ground Truth Establishment (Test Set)

    The document does not mention the number of experts used or their qualifications for establishing ground truth in the reported validation tests.

    4. Adjudication Method (Test Set)

    The document does not describe any adjudication method (e.g., 2+1, 3+1, none) used for the test set.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    The document does not mention a multi-reader multi-case (MRMC) comparative effectiveness study. Therefore, no effect size for human reader improvement with AI assistance can be determined from this text.

    6. Standalone Performance Study

    Yes, a standalone validation was performed for the device's software components. The document explicitly states:

    • "The following validation tests were performed on the WIM-PCTM software:
      • Wheeze detection validation test.
      • Breath detection validation test."
        However, the actual performance metrics (e.g., sensitivity, specificity, accuracy) are not reported.

    7. Type of Ground Truth Used

    The document does not explicitly state the type of ground truth used for the "Wheeze detection validation test" or "Breath detection validation test." Given the nature of pulmonary sound analysis, it's highly likely to be expert consensus (e.g., auscultation by physicians) or potentially correlated with other clinical findings, but this information is not provided.

    8. Sample Size for the Training Set

    The document does not specify the sample size used for training the software algorithms.

    9. How Ground Truth for the Training Set was Established

    The document does not describe how the ground truth for the training set was established.

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