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510(k) Data Aggregation

    K Number
    K961520
    Manufacturer
    Date Cleared
    1996-11-13

    (205 days)

    Product Code
    Regulation Number
    870.3680
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    UNIPOLAR IPG GROUND CABLE, MODEL 5473

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

    Not Found

    Device Description

    UNIPOLAR IPG GROUND CABLE, Model 5473

    AI/ML Overview

    The provided document describes performance testing for medical device, likely a component of a larger system. However, the information requested about a study proving a device meets acceptance criteria, particularly in the context of an AI-powered device or a study involving human readers/experts, is not present in the provided text.

    The document details device integrity testing for the UNIPOLAR IPG GROUND CABLE, Model 5473, focusing on its physical and functional integrity. It does not describe an AI medical device, diagnostic performance, or a comparative effectiveness study involving human readers.

    Here's an analysis of the provided text against your requested points:

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

    TestAcceptance Criteria (Test Requirement)Reported Performance
    Autoclave SterilizationDevices shall remain within specification following flash autoclave sterilization.Pass
    Grounding Clip Life CyclingDevices shall be capable of grasping and holding a minimum of 2 ounce weight in the vertical direction, and shall have acceptable contact resistance.Pass
    Rotational FlexDevices shall be reusablePass

    Missing Information (Not present in the provided text):

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    • Sample sizes for device integrity testing are provided:
      • Autoclave Sterilization: 10 cable assemblies
      • Grounding Clip Life Cycling: 20 cable assemblies
      • Rotational Flex: 8 cable assemblies
    • Data provenance (country of origin, retrospective/prospective) is not mentioned. This type of information is typically irrelevant for device integrity testing of physical components.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    • Not applicable. This document describes physical device integrity testing, not a diagnostic study requiring expert ground truth.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    • Not applicable. This describes physical device testing, not a diagnostic study requiring adjudication.

    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, an MRMC study was not done. This document describes physical device integrity testing, not an AI-powered diagnostic study.

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

    • Not applicable. This document describes physical device integrity testing, not an algorithm's performance.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    • For the device integrity testing, the "ground truth" is defined by the test requirements/specifications. For example, "remaining within specification," "grasping and holding a minimum of 2 ounce weight," and "acceptable contact resistance." These are engineering-defined metrics, not clinical ground truth.

    8. The sample size for the training set

    • Not applicable. No training set is mentioned as this is physical device testing, not an AI model.

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

    • Not applicable. No training set or ground truth in the context of machine learning is mentioned.

    In summary, the provided text details engineering-focused device integrity testing for a physical medical device component. It does not contain any information related to AI devices, diagnostic studies, human reader performance, or typical ground truth establishment methods for such studies.

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