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510(k) Data Aggregation

    K Number
    K071292
    Date Cleared
    2007-07-19

    (72 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    VIEW MD OFFICE SYSTEM, MODEL 41066.5540

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

    The "The View MD Office System" is designed to deliver illumination, provide camera use, and display and store medical images obtained during endoscopic surgical or diagnostic procedures

    Device Description

    The View MD Office System is a 50 watt light source, 1 CCD camera, and LCD Monitor with image capture combined into a compact unit.

    AI/ML Overview

    This device application is for the "View MD Office System," a light source, camera, and monitor combination. The provided documentation does not include information about AI/ML algorithm performance, acceptance criteria for such algorithms, or studies related to AI/ML.

    Therefore, I cannot provide the detailed information requested in the prompt using the provided text. The document focuses on demonstrating substantial equivalence to predicate devices based on technological characteristics and compliance with electrical safety and electromagnetic compatibility standards.

    Based on the provided text, here's what can be inferred/stated regarding the performance and studies:

    1. Table of Acceptance Criteria and Reported Device Performance:

    Acceptance CriteriaReported Device Performance
    Conformance to IEC 60601-1 (Medical electrical equipment - Part 1: General requirements for safety)"The View MD Office System has been tested to conform to IEC 60601-1"
    Conformance to IEC 61000-3-2 / -3 (Electromagnetic compatibility (EMC) - Part 3: Limits - Section 2: Harmonics; Section 3: Voltage changes, fluctuations and flicker)"The View MD Office System has been tested to conform to... IEC 61000-3-2 / -3"
    Conformance to IEC 61000-4-2 / -3 / -4 / -5 / -6 / -8 / -11 (Electromagnetic compatibility (EMC) - Part 4: Testing and measurement techniques)"The View MD Office System has been tested to conform to... 61000-4-2 / -3 / -4 / -5 / -6 / -8 / -11"

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

    • Not applicable for AI/ML performance. The device is a hardware system. The "test set" here refers to the device itself undergoing electrical and EMC testing.

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

    • Not applicable for AI/ML performance. Ground truth, in the context of this submission, relates to the established standards (IEC 60601-1, IEC 61000 series) and the test methodologies specified within those standards. Testing would be performed by qualified engineers or test laboratories.

    4. Adjudication method for the test set:

    • Not applicable for AI/ML performance. Adjudication is not mentioned as the testing refers to standard compliance.

    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:

    • No such study was performed or mentioned. The device is a hardware tool for image acquisition and display, not an AI-powered diagnostic aid.

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

    • No such study was performed or mentioned. There is no indication of an AI algorithm in this submission.

    7. The type of ground truth used:

    • For the performance data mentioned (IEC standards), the "ground truth" is adherence to the technical specifications and safety requirements defined by these international standards.

    8. The sample size for the training set:

    • Not applicable. There is no mention of a training set for an AI/ML algorithm.

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

    • Not applicable. There is no mention of a training set for an AI/ML algorithm.
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