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A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment.
Marco Di Fraia1, Lorenzo Tieghi2, Francesca Magri1
1Dermatology Clinic, Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, Roma, Italy.
A new machine learning model using support vector machine (SVM) algorithms can accurately classify androgenic alopecia (AGA) severity based on trichoscopic patterns. This tool aids dermatologists in managing AGA and tailoring patient therapy.
Failed At:
2026-06-19T13:40:16.268893+00:00
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