Artificial Intelligence in Trichoscopy: From Image Classification to Longitudinal Quantitative Hair Phenotyping - A Clinical-Technical Perspective and Validation Roadmap
September 2026
in “
Zenodo (CERN European Organization for Nuclear Research)
”
Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.
Studysummary This paper reviews the current advancements and limitations of AI in diagnosing hair and scalp disorders, emphasizing its role in standardized quantitative phenotyping over autonomous diagnosis, and outlines a framework for future research and validation.
Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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