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510(k) Data Aggregation

    K Number
    K201220
    Manufacturer
    Date Cleared
    2020-06-17

    (42 days)

    Product Code
    Regulation Number
    880.6500
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    Aerus Medical Guardian,model F170A

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

    The Aerus Medical Guardian, model F170A is a device intended for medical purposes that is used for the reduction of staphylococcus epidermidis and erwinia herbicola bacteria, MS2 and Phi-X174 viruses and aspergillus niger fungal spores and bacillus globigii bacterial spores from the air in a temperature-controlled professional healthcare environment of 7071°F, 4045% RH.

    Device Description

    Not Found

    AI/ML Overview

    The provided document describes the Aerus Medical Guardian, model F170A, a medical ultraviolet air purifier intended for the reduction of specific bacteria, viruses, and fungal/bacterial spores in professional healthcare environments.

    Here's an analysis of the acceptance criteria and the study that proves the device meets them:

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

    The acceptance criteria are implicitly defined by the reported performance of the device in demonstrating the reduction of various microorganisms. The device must achieve a certain "Log-Reduction" for each organism. The table below outlines these:

    Organism TypeOrganism NameAcceptance Criteria (Log-Reduction)Reported Device Performance (Avg Log-Reduction)
    BacteriaStaphylococcus epidermidisNot explicitly stated but implied >= 5.955.95
    BacteriaErwinia herbicolaNot explicitly stated but implied >= 5.125.12
    VirusMS2Not explicitly stated but implied >= 5.585.58
    VirusPhi-X174Not explicitly stated but implied >= 4.194.19
    Fungal SporeAspergillus nigerNot explicitly stated but implied >= 4.124.12
    Bacterial SporeBacillus globigiiNot explicitly stated but implied >= 4.224.22

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

    The document does not specify the sample size used for the test set or the data provenance (e.g., country of origin, retrospective or prospective nature of the study). The table simply presents "Avg Log-Reduction," suggesting a summary of experimental results.

    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. The "ground truth" in this context refers to the measured reduction of microorganisms in a controlled laboratory setting, not to expert interpretation of data.

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

    This information is not applicable as the "ground truth" is a direct measurement, not an expert consensus process 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

    This information is not applicable. The device is an air purifier, not an AI-powered diagnostic or assistive tool for human readers.

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

    This information is not applicable. The device's performance is standalone in its function as an air purifier; there is no "human-in-the-loop" component in its direct operation for microorganism reduction.

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

    The ground truth for this device's performance is based on direct laboratory measurements of microorganism reduction. This involves culturing and quantifying the specific bacteria, viruses, and spores before and after exposure to the device in a controlled environment. The "Log-Reduction" is a quantitative measure derived from these laboratory experiments.

    8. The sample size for the training set

    This information is not applicable. This is a physical device (air purifier), not a machine learning model that requires a training set.

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

    This information is not applicable for the reason stated above.

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