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510(k) Data Aggregation

    K Number
    K081180
    Date Cleared
    2008-08-26

    (123 days)

    Product Code
    Regulation Number
    878.4460
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Skinsense Polyisoprene Underglove is a disposable device made of non-natural rubber latex that is intended to be worn on the hands, usually in a surgical setting, to provide a barrier against potentially infectious material and other contaminants.

    Device Description

    The Skinsense Polyisoprene Underglove is a sterile powder free, polymer coated latex surgical glove. The glove contains 50 micrograms or less of total water extractable protein per gram.

    AI/ML Overview

    This document is a 510(k) summary for a medical device called the "Skinsense Polyisoprene Underglove." It describes characteristics and performance data related to physical properties and biocompatibility.

    1. Table of Acceptance Criteria and Reported Device Performance

    CharacteristicAcceptance Criteria (Standard)Reported Device Performance
    DimensionsMeets ASTM D3577Meets ASTM D3577
    Physical PropertiesMeets ASTM D3577Meets ASTM D3577
    Freedom from HolesMeets ASTM D3577Meets ASTM D3577
    Biocompatibility:
    Cytotoxicity StudyPassPass
    ISO Skin Irritation StudyPassPass
    LAL Test<0.25 EU/ml (presumably)<0.25 EU/ml

    Note: For the LAL Test, the acceptance criterion specifically states "<0.25 EU/ml" which is also presented as the reported performance, implying this is the established threshold.

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

    The document does not specify the exact sample sizes used for testing each characteristic. It lists the tests performed (e.g., Cytotoxicity Study, ISO Skin Irritation Study, LAL Test, and conformance to ASTM D3577 for Dimensions, Physical Properties, and Freedom from Holes). The data provenance is not explicitly stated in terms of country of origin or whether it's retrospective or prospective. It is implied that these are lab-based tests conducted to demonstrate compliance with standards.

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

    This document describes performance testing against established standards (ASTM D3577) and biocompatibility tests, not the interpretation of complex data requiring expert consensus for a "ground truth" in the way it might for AI diagnostic tools. Therefore, the concept of "number of experts used to establish the ground truth" with specific qualifications is not applicable in this context. The "ground truth" is defined by the objective criteria within the ASTM standard and the pass/fail thresholds for the biocompatibility tests.

    4. Adjudication method for the test set

    Not applicable. This is not a study involving human readers or subjective interpretations requiring adjudication. The performance is determined by objective measurements against predefined standards and thresholds.

    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 not a study of an AI-assisted diagnostic device, but rather a
    summary for a surgical glove.

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

    Not applicable. This document is for a physical medical device (surgical glove), not a standalone algorithm.

    7. The type of ground truth used

    The "ground truth" for the performance data in this document is defined by:

    • Established Industry Standards: ASTM D3577-01-ae2, which specifies requirements for various characteristics of surgical gloves.
    • Biocompatibility Test Pass/Fail Criteria: Standardized protocols for Cytotoxicity, ISO Skin Irritation, and LAL (Endotoxin) tests with defined pass/fail thresholds.

    8. The sample size for the training set

    Not applicable. This document is for a physical medical device and does not involve a "training set" in the context of machine learning or AI.

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

    Not applicable, as there is no training set involved for this device.

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