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The igrow-II Hair Growth System is indicated to promote hair growth in females with androgenetic alopecia who have Ludwig-Savin Classifications of I-II and Fitzpatrick Classification of Skin Phototypes I to IV.

The Igrow-II Hair Growth System consists of 21 red visible light, diode lasers and 30 red light super-luminescent diodes configured within an outer helmet and protective inner. The use of diode lasers and non-laser LEDs provides for a full coverage of the upper 1/3 of the head; i.e., the area commonly covered with stylized hair. The helmet system will automatically pause therapy if the subject's head is moved outside of the zone of radiation and will resume therapy when the correct head position is re-established. At the end of the therapy cycle, the system signals that therapy is complete and ready to be powered down. by emitting an audible beep pattern.

The provided text is a 510(k) Summary for the iGrow-II Hair Growth System. It describes a clinical study to demonstrate the device's performance. Here's a breakdown of the requested information:

1. Table of Acceptance Criteria and Reported Device Performance

The document doesn't explicitly state "acceptance criteria" with numerical thresholds in the typical sense for a diagnostic device. Instead, it describes efficacy in terms of hair growth and safety. The primary performance metric is the increase in terminal hair counts and effectiveness against a placebo.

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

• Sample Size: The document does not explicitly state the exact number of subjects in the test set or placebo group. It uses the phrase "All subjects self-administered treatments..." and "All of the subjects showed a positive result for an increase in terminal hair counts." indicating a cohort of subjects. It also mentions "a multi-center, randomized, double blinded, placebo controlled, prospective trial." Without a specific numerical count, the exact sample size remains unclear from this document alone.
• Data Provenance:
  • Country of Origin: United States ("two sites in the United States").
  • Study Design: Prospective, multi-center, randomized, double-blinded, placebo-controlled trial.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

The document does not provide information about experts establishing ground truth for the test set. The efficacy assessment centers on objective measures such as "increase in terminal hair counts" and "decrease in terminal hair counts," implying quantitative measurement rather than subjective expert consensus on the images themselves.

4. Adjudication method for the test set

The document does not describe any adjudication method (e.g., 2+1, 3+1) for the test set. The assessment appears to be based on direct measurement of terminal hair counts.

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. The iGrow-II Hair Growth System is a low-level light therapy device (infrared lamp) for promoting hair growth, not an AI-assisted diagnostic tool that would involve human readers interpreting cases.

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

This is not applicable. The iGrow-II Hair Growth System is a physical device used by individuals for hair growth, not an algorithm.

7. The type of ground truth used

The ground truth for evaluating device efficacy was based on objective measurement of "terminal hair counts." This implies a quantitative assessment of hair growth, likely through direct counting or imaging analysis, rather than expert consensus, pathology, or outcomes data in the traditional sense of a diagnostic study.

8. The sample size for the training set

The document mentions "Adequate data, from prior testing, was already available to the sponsor, validating the efficacy of the iGrow-II Hair Growth System, obviating the need to test lasers versus LEDs." However, it does not specify a separate "training set" or its sample size in the context of a new clinical trial for this specific submission. The details provided pertain to the prospective controlled trial described.

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

As there's no explicitly defined "training set" for the current submission's clinical trial, details on how its ground truth was established are not provided. The phrase "prior testing" suggests earlier studies, but their methodology for establishing ground truth is not elaborated upon in this document.

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The igrow-II Hair Growth System is indicated to promote hair growth in males with androgenetic alopecia who have Norwood Hamilton Classifications of IIa to V and Fitzpatrick Skin Phototypes I to IV.

The Igrow-II Hair Growth System consists of 21 red visible light, diode lasers and 30 red light super-luminescent diodes configured within an outer helmet and protective inner liner. The use of diode lasers and non-laser LEDs provides for a full coverage of the upper 1/3 of the head; i.e., the area commonly covered with stylized hair. The helmet system will automatically pause therapy if the subject's head is moved outside of the zone of radiation and will resume therapy when the correct head position is re-established. At the end of the therapy cycle, the system signals that therapy is complete and ready to be powered down. by emitting an audible beep pattern.

Here's a breakdown of the acceptance criteria and study information for the igrow-II Hair Growth System, based on the provided 510(k) summary:

Acceptance Criteria and Device Performance

Study Details

1. Sample Size used for the test set and the data provenance:

   • Sample Size: Not explicitly stated as a number, but the study refers to "subjects" and "all of the subjects" in the active group demonstrating effectiveness, implying a sufficiently powered sample for the observed effect.
   • Data Provenance: Prospective, multi-center, randomized, double-blinded, placebo-controlled trial conducted at two sites in the United States.

2. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

   • This information is not provided in the summary. The "ground truth" seems to be based on an objective measurement: "increase in terminal hair counts," which would likely be quantified measurements rather than expert consensus on images.

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

   • Adjudication method is not explicitly stated. The "ground truth" is based on "increase in terminal hair counts" as a primary outcome.

4. 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:

   • No, an MRMC comparative effectiveness study involving human readers and AI assistance was not done. This study is evaluating the device itself, not AI assistance for human reading.

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

   • Yes, a standalone performance study was done. The device (igrow-II Hair Growth System) was tested on its own, with subjects self-administering treatments, and its efficacy was measured against a placebo device. There is no human-in-the-loop component mentioned for interpreting results or guiding the device's action, only for administering the treatment.

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

   • The primary ground truth used was outcomes data, specifically "increase in terminal hair counts."

7. The sample size for the training set:

   • Not applicable / Not explicitly stated. This is a performance study of a physical device, not an AI/algorithm that requires a training set in the typical sense. The summary mentions "Adequate data, from prior testing, was already available to the sponsor, validating the efficacy of the igrow-II Hair Growth System." This likely refers to previous internal testing and development, not a formal training set for an algorithm.

8. How the ground truth for the training set was established:

   • Not applicable. See point 7.

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