Machine learning applications in androgenetic alopecia: a systematic review

    July 2026 in “ Skin Health and Disease ”
    Jay Huang, Eric P. McMullen, Sana Gupta … Jeffrey C. H. Donovan
    Studysummary This study reviews the potential applications of artificial intelligence for diagnosing, assessing severity, and predicting treatment outcomes in androgenetic alopecia, but reports no new clinical results.
    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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    Research cited in this study 5

    1. Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets European Journal of Human Genetics · 2022
    2. Prediction of Therapeutic Outcomes of Female Pattern Hair Loss Patients Based on Clinical Features with Application of Artificial Intelligence Journal of The American Academy of Dermatology · 2020
    3. KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation IEEE Access · 2020
    4. SNP Variation in Male Pattern Hair Loss in Russians with Different Dihydrotestosterone Levels Meta Gene · 2018
    5. Bayesian Measurement-Error-Driven Hidden Markov Regression Model for Calibrating the Effect of Covariates on Multistate Outcomes: Application to Androgenetic Alopecia Statistics in Medicine · 2018