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510(k) Data Aggregation

    K Number
    K162071
    Manufacturer
    Date Cleared
    2017-02-24

    (212 days)

    Product Code
    Regulation Number
    890.5500
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    IllumiFlow Laser Cap

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

    The illumiflow Laser Cap is indicated to promote hair growth in males with androgenic alopecia who have Norwood-Hamilton classifications of IIa to V or females with androgenic alopecia who have Ludwig-Savin Classifications of I – II and both with Fitzpatrick Skin Phototypes I to IV.

    Device Description

    The illumiflow Laser Cap is a dome-shaped low level laser therapy (LLLT) device designed to promote hair growth in women and men by exposing the entire scalp to the photobiostimulation of 272 visible red light-emitting diodes at 650-nm and 5mW each. The cap is designed with an outer plastic cover and a protective inner liner (containing the electronics and laser array) and is powered by an included Battery Pack.

    AI/ML Overview

    The provided text describes the regulatory clearance for the "Illumiflow Laser Cap." However, it does not contain the information requested regarding acceptance criteria and a study that proves the device meets those criteria, particularly in the context of an AI/human-in-the-loop system for a medical imaging device.

    The document is a 510(k) summary for a low-level laser therapy (LLLT) device intended to promote hair growth. The studies mentioned are primarily:

    • Biocompatibility testing: To ensure materials are safe for patient contact.
    • Non-clinical performance testing: To confirm compliance with design specifications and electrical safety/EMC standards (e.g., IEC 60825-1, IEC 60601-1).
    • Usability testing: To confirm that lay users can understand labeling and use the device safely and correctly.

    There is no mention of:

    • A table of acceptance criteria for diagnostic/AI performance metrics (e.g., sensitivity, specificity, AUC).
    • Sample sizes for test sets used to evaluate AI performance.
    • Data provenance for such test sets.
    • Number or qualifications of experts for ground truth establishment.
    • Adjudication methods.
    • Multi-Reader Multi-Case (MRMC) studies or comparative effectiveness with human readers.
    • Standalone algorithm performance.
    • Type of ground truth used (e.g., pathology, outcomes data).
    • Training set details (size, ground truth establishment).

    The device is a direct-to-consumer therapy device, not a diagnostic imaging device utilizing AI. Therefore, the detailed AI-related study information you requested is not present in this document.

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