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510(k) Data Aggregation

    K Number
    K991935
    Date Cleared
    2000-01-27

    (232 days)

    Product Code
    Regulation Number
    878.4810
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    EPILIGHT HAIR REMOVAL SYSTEM, PHOTODERM HR SYSTEM

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

    EpiLight® and PhotoDerm® HR are used for the removal of unwanted hair. EpiLight® and PhotoDerm® HR are also intended to effect stable long-term, or permanent hair reduction in skin types I-V through selective targeting of melanin in hair follicles. Permanent hair reduction is defined as a long-term stable reduction in the number of hairs regrowing after a treatment regime.

    Device Description

    EpiLight® and PhotoDerm® HR are electro-optical medical devices designed for effective photothermal treatment of unwanted hair and its removal.

    AI/ML Overview

    The provided text is a 510(k) summary for the EpiLight® and PhotoDerm® HR devices, which are electro-optical medical devices for hair removal. The document focuses on establishing substantial equivalence to predicate devices rather than providing detailed acceptance criteria and study results for a new AI-powered device. Therefore, much of the requested information regarding AI device performance, sample sizes, ground truth establishment, and MRMC studies is not available in the provided text.

    Based on the information given, here's what can be extracted:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly define acceptance criteria in terms of specific quantitative metrics (e.g., sensitivity, specificity, accuracy) for a new device's performance. Instead, it relies on demonstrating "substantial equivalence" to predicate devices through technical comparisons and clinical trials.

    The primary performance claim for the EpiLight® and PhotoDerm® HR is:

    • Permanent hair reduction: Defined as a long-term stable reduction in the number of hairs regrowing after a treatment regime.

    The document states that a technical comparison and clinical trials were performed to establish substantial equivalence. However, no specific performance metrics resulting from these studies are provided in this summary.

    Acceptance Criteria (Implicit from Intended Use)Reported Device Performance
    Removal of unwanted hairAchieved (by substantial equivalence to predicates)
    Stable long-term, or permanent hair reduction in skin types I-V through selective targeting of melanin in hair folliclesAchieved (by substantial equivalence to predicates)
    Permanent hair reduction: a long-term stable reduction in the number of hairs regrowing after a treatment regime.Achieved (by substantial equivalence to predicates)

    2. Sample Size Used for the Test Set and Data Provenance

    The document mentions "clinical trials were performed by ESC Medical Systems," but it does not provide any details about:

    • The sample size of the test set (number of participants or observations).
    • The data provenance (e.g., country of origin, retrospective or prospective nature of the data).

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications

    The document does not provide any information regarding experts used to establish ground truth.

    4. Adjudication Method for the Test Set

    The document does not specify any adjudication method.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    A Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not conducted. The devices described are medical devices for hair removal, not AI-assisted diagnostic tools requiring reader interpretation. Therefore, there is no discussion of human reader improvement with or without AI assistance.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    This question is not applicable. The devices are physical medical devices for hair removal, not AI algorithms.

    7. The Type of Ground Truth Used

    Given the nature of the device (hair removal), the "ground truth" for "permanent hair reduction" would most likely be based on clinical observation and measurement of hair regrowth over time following a treatment regime. However, the document does not explicitly state the method for establishing this ground truth (e.g., photographic assessment, hair count, patient self-reporting, etc.).

    8. The Sample Size for the Training Set

    This question is not applicable as the document describes a physical medical device, not an AI algorithm that undergoes training.

    9. How the Ground Truth for the Training Set Was Established

    This question is not applicable.

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    K Number
    K963249
    Date Cleared
    1997-07-07

    (322 days)

    Product Code
    Regulation Number
    878.4810
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    EPILIGHT HAIR REMOVAL SYSTEM

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

    The EpiLight™ Hair Removal System is intended for long term removal of unwanted hair.
    The EpiLight TM Hair Removal System is used for the removal of unwanted hair

    Device Description

    EpiLight™ Hair Removal System is an electro optic medical device designed for effective photothermal treatment of unwanted hair and its long-term removal

    AI/ML Overview

    The provided text describes the 510(k) summary for the EpiLight™ Hair Removal System. While it discusses the device's intended use and claims substantial equivalence to predicate devices, it does not provide explicit acceptance criteria in a quantitative format or details of a dedicated study to prove it meets such criteria in the way a modern regulatory submission would.

    Instead, the submission relies on a comparison to predicate devices and a general statement about "clearance rates and rate of occurrence of adverse effects."

    Here's an analysis of the information provided, fitting it into your requested format as much as possible, with caveats where information is missing:


    1. Table of Acceptance Criteria and Reported Device Performance

    As explicit quantitative acceptance criteria are not stated in the document, I will infer what the submission implies regarding performance based on the comparison to predicate devices. The "reported device performance" refers to the general claim of being "as safe and as effective" as the predicates.

    Acceptance Criteria (Inferred from Predicate Equivalence Claim)Reported Device Performance (EpiLight™ Hair Removal System)
    Long-term removal of unwanted hairEffective for long-term removal of unwanted hair
    Acceptable clearance rates (comparable to predicates)Clearance rates established and compared to published data on predicate devices; deemed "as effective" as predicates
    Acceptable rate of adverse effects (comparable to predicates)Rate of occurrence of adverse effects established and compared to published data on predicate devices; deemed "as safe" as predicates
    Conformance with IEC601.1-1 for electro-medical devicesConforms with IEC601.1-1
    Compliance with 21 CFR 1040.1 FDA laser performance standard (where applicable, despite not being a laser)Efforts made to comply with 21 CFR 1040.1 where applicable

    2. Sample Size Used for the Test Set and Data Provenance

    • Sample Size: A "multi-center clinical study" was conducted, but the specific number of participants (sample size) in this study is not provided in the document.
    • Data Provenance: The document states "ESC Medical Systems has also conducted a multi-center clinical study." The origin of the data (country) is not explicitly mentioned, but ESC Medical Systems is based in Yokneam, Israel. It is a prospective clinical study, as it was "conducted" by ESC Medical.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

    This information is not provided in the document. The study establishes "clearance rates and rate of occurrence of adverse effects," which would typically involve expert assessment, but no details on the number or qualifications of these experts are given.

    4. Adjudication Method for the Test Set

    This information is not provided in the document.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • Was one done? No. The study described is a clinical study on the device's effectiveness and safety, not a comparative study of human readers with vs. without AI assistance. The EpiLight™ is a standalone medical device, not an AI-powered diagnostic tool for human readers.
    • Effect Size of Human Reader Improvement: Not applicable, as this was not an MRMC study related to AI assistance.

    6. Standalone (Algorithm Only) Performance Study

    • Was one done? Yes, in principle. The clinical study conducted by ESC Medical Systems on the EpiLight™ Hair Removal System is a standalone performance study. The device is not an algorithm, but a physical electro-optic medical device. The study assessed the device's performance (clearance rates and adverse effects) on its own, without human intervention in the hair removal process itself (though human operators operate the device).

    7. Type of Ground Truth Used

    The "ground truth" for the clinical study was likely based on:

    • Clinical Assessment: Observation of hair clearance (reduction in hair growth/density) over time.
    • Adverse Event Reporting: Documentation of any side effects (e.g., skin irritation, burns).
      This would typically involve patient follow-ups and physician evaluations. The document states "clearance rates and rate of occurrence of adverse effects... were established," implying a direct clinical observation and measurement of outcomes.

    8. Sample Size for the Training Set

    The concept of a "training set" is not applicable here in the context of machine learning. The EpiLight™ Hair Removal System is an electro-optic device, not an AI/algorithm that requires a training set. The clinical study performed is a performance evaluation of the manufactured device.

    9. How the Ground Truth for the Training Set was Established

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

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