Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study
NCT07294313 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 400
Last updated 2026-03-20
Summary
The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and administrative data (age and sex).
Conditions
Sponsors & Collaborators
-
Cairo University
lead OTHER
Eligibility
- Min Age
- 12 Years
- Max Age
- 50 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-04-25
- Primary Completion
- 2026-09-25
- Completion
- 2026-11-25
Countries
- Egypt
Study Locations
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