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510(k) Data Aggregation

    K Number
    K212302
    Manufacturer
    Date Cleared
    2021-12-07

    (137 days)

    Product Code
    Regulation Number
    878.4040
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    BAYLAB 3-Ply Surgical Masks (BEACON I) are intended to be worn to protect both the patient and healthcare personnel from transfer of microorganisms, body fluids and particulate material. These face masks are intection control practices to reduce the potential exposure to blood and body fluids. This is a single use, disposable device provided nonsterile.

    Device Description

    BAYLAB 3-Ply Surgical Masks (BEACON I) are nonwoven, pleated, 3-ply, single use, disposable flat surgical masks, manufactured in Bay Blue color. The surgical masks are to be secured on users by means of elastic ear loops.

    AI/ML Overview

    This is a 510(k) premarket notification for a surgical mask (BAYLAB 3-Ply Surgical Mask (BEACON I)). The document describes the acceptance criteria and performance of the device based on non-clinical testing.

    Here's the breakdown of the requested information:

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

    ParameterAcceptance Criteria (Level 3)Reported Device Performance
    Bacterial Filtration Efficiency (BFE) (ASTM F2101)≥98%Pass at >98%
    Differential Pressure (ΔP) (EN 14683)99%
    Resistance to penetration by Synthetic Blood (ASTM F1862)160mm HgPass at 160mm Hg
    Flammability (16 CFR Part 1610)Class 1Class 1
    Cytotoxicity (ISO 10993-5)Non-cytotoxicPass - non-cytotoxic
    Irritation (ISO 10993-10)Non-irritatingPass - non-irritating
    Sensitization (ISO 10993-10)Non-sensitizingPass - non-sensitizing

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

    The document does not specify the exact sample sizes used for each test. For the performance tests (BFE, ΔP, PFE, Synthetic Blood Penetration, Flammability) and biocompatibility tests (Cytotoxicity, Irritation, Sensitization), it states that tests were conducted according to the respective ASTM, EN, and ISO standards. These standards typically define minimum sample sizes for testing, but the specific number tested for this device is not reported in this summary. The data provenance (country of origin, retrospective/prospective) is also not explicitly stated, but these are standard laboratory tests.

    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)

    This is not applicable to the evaluation of a surgical mask. The acceptance criteria are based on objective, standardized physical and biological tests, not on expert interpretation or subjective ground truth from medical professionals.

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

    This is not applicable as the evaluation involves objective laboratory tests with clearly defined pass/fail criteria, so there is no subjective adjudication required.

    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

    This is not applicable. Surgical masks are not diagnostic devices that involve human readers or AI assistance.

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

    This is not applicable as the device is a physical product (surgical mask) and does not involve an algorithm.

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

    The ground truth for this device is established by objective, standardized laboratory test methods defined in the referenced national and international standards (ASTM F2101, EN 14683, ASTM F2299, ASTM F1862, 16 CFR Part 1610, ISO 10993-5, ISO 10993-10). These standards contain specific protocols and acceptance criteria for measuring filtration efficiency, breathability, fluid resistance, flammability, and biological safety.

    8. The sample size for the training set

    This is not applicable. The device is a manufactured item, not an AI/machine learning model, so there is no training set in this context.

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

    This is not applicable, as there is no training set.

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