Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K031301
    Manufacturer
    Date Cleared
    2003-10-15

    (174 days)

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

    These gloves are intended to be worn by operating room personnel to protect a surgical wound from contamination in environments within hospitals and other healthcare facilities. The gloves are appropriate for use during invasive as well as non-invasive medical procedures requiring sterility.

    Device Description

    Esteem Sterile Polyisoprene Surgical Gloves with Coating are formulated using Synthetic Rubber Latex. These are offered powder-free and sterile.

    AI/ML Overview

    This document pertains to the 510(k) summary of safety and effectiveness for the Esteem Sterile Polyisoprene Surgical Gloves with Coating. The information provided focuses on the physical and biological characteristics of the gloves, and therefore, many of the requested criteria regarding AI/algorithm performance are not applicable.

    Here's an analysis based on the provided text:

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

    Acceptance Criteria (Test)Reported Device Performance
    Primary Skin IrritationGloves are non-irritating.
    Guinea Pig Maximization (Sensitization)Gloves do not display any potential for sensitization.
    Ultimate Elongation & Tensile StrengthGloves exceed requirements for rubber surgical gloves per ASTM D3577-01.
    Barrier DefectsGloves exceed requirements per 21 CFR §800.20 and ASTM D3577-01, AQL = 1.5.
    Residual Powder LevelGloves meet powder level requirements ("Powder Free" designation) using ASTM Standard D6124-00; results below 2 mg of residual powder per glove.

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

    The document does not specify the exact sample sizes used for each test (e.g., number of gloves tested for barrier defects, number of animals for skin irritation/sensitization). The provenance of the data (country of origin, retrospective/prospective) is also not explicitly stated, but it can be inferred that these are standard laboratory tests conducted by the manufacturer, Cardinal Health, likely in the US where the 510(k) application was made.

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

    This information is not applicable to the evaluation of surgical gloves. The "ground truth" for these tests is based on established scientific and regulatory standards (e.g., ASTM standards, CFR regulations) and laboratory measurements, not expert consensus on interpretations.

    4. Adjudication method for the test set

    Not applicable. The tests involve objective measurements against predefined standards. There is no mention of adjudication in the context of interpretation or consensus building.

    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 device is a physical medical device (surgical gloves), not an AI or imaging-based diagnostic tool. Therefore, MRMC studies and AI-related performance metrics are irrelevant.

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

    Not applicable. This is not an algorithm or software device.

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

    The "ground truth" for the performance of these surgical gloves is based on:

    • Established Industry Standards: ASTM International (e.g., D3577-01 for rubber surgical gloves, D6124-00 for residual powder).
    • Regulatory Requirements: 21 CFR §800.20 related to barrier defects.
    • Biological Testing Standards: Methods for evaluating skin irritation and sensitization (e.g., Guinea Pig Maximization Test).
      These are objective, measurable criteria, not subjective expert consensus, pathology, or outcomes data in the typical sense for diagnostic devices.

    8. The sample size for the training set

    Not applicable. There is no machine learning or AI component that would require a training set.

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

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

    Ask a Question

    Ask a specific question about this device

    Page 1 of 1