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510(k) Data Aggregation

    K Number
    K191501

    Validate with FDA (Live)

    Date Cleared
    2020-01-03

    (211 days)

    Product Code
    Regulation Number
    878.4810
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The indication for use are UVB phototherapy of psoriasis, vitiligo, atopic dermatitis, and leukoderma of affected skin.

    Device Description

    Laseroptek Co. Ltd.'s PALLAS 308/311 Solid-State UV laser system is a self-contained ultraviolet laser light source and optical energy delivery system that provides targeted energy to the treatment site while avoiding exposure to non-affected tissue. The light source is contained within the protective console. The complete system also includes a hand piece connected to the console via an articulating arm. Timing and dosing parameters and the user interface are controlled through a display on the console. The delivery system allows UV-B light to pass through the hand piece to selectively treat skin legions without exposure to the unwanted skin.

    AI/ML Overview

    The provided text is a 510(k) Summary for a medical device, the PALLAS 308/311 Solid-State UV Laser System. It outlines the device's technical characteristics, indications for use, and a comparison to a predicate device to establish substantial equivalence for FDA clearance.

    However, this document does not contain information about a study that proves the device meets specific acceptance criteria based on AI/algorithm performance, human reader improvement with AI assistance, or expert consensus on a test set. The performance data section refers to non-clinical tests (measurement of wavelength, output power, energy fluence) and compliance with various consensus standards related to electrical safety, electromagnetic compatibility, usability, risk management, and software validation for a laser system, not an AI-driven medical device.

    Therefore, I cannot provide the requested information related to acceptance criteria and study details for an AI-driven device, as the provided document concerns a UV laser system and its substantial equivalence to a predicate device, based on engineering and safety standards, not AI-specific performance.

    Specifically, the document does not mention:

    • A table of acceptance criteria with reported device performance for an AI/algorithm.
    • Sample sizes for a test set or data provenance for AI model validation.
    • The number or qualifications of experts for ground truth establishment.
    • Adjudication methods for a test set.
    • A multi-reader multi-case (MRMC) comparative effectiveness study.
    • Standalone (algorithm-only) performance.
    • The type of ground truth (e.g., pathology, outcomes data).
    • Sample size for a training set or how its ground truth was established.

    The "Performance Data" section details non-clinical tests of the laser's physical parameters and compliance with electrical and safety standards, which are typical for laser devices seeking 510(k) clearance via substantial equivalence.

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