Artificial Intelligence-Based Personalization of Treatment Regimen for Hair Loss: A 6-Month Clinical Trial.

Abstract

Hair loss affects up to 50% of women and 80% of men. The high costs and wait times for professional consultations lead many to seek one-size-fits-all solutions that are frequently ineffective. This study tested an artificial intelligence (AI) model for customizing non-medicated hair loss treatments. In a 24-week trial, 38 women with self-reported hair thinning received personalized product kits based on AI analysis of scalp images and questionnaires. Treatments included various combinations of topical serums, shampoos, oral supplements, and marine collagen peptides. Of the 27 participants who completed the study, significant improvements were observed in hair growth, coverage, and thickness (P<0.001 for all). Hair shedding decreased by 37.3% at 12 weeks and 32.4% at 24 weeks. Scalp transepidermal water loss was reduced by 61.5% at 12 weeks and 69% at 24 weeks. Scanning electron microscopy showed improved hair texture. Participants reported overall hair improvement (88.9%), better scalp health (85.2%), and less hair brittleness (92.6%) (P<0.001 for all). No adverse events were reported. The AI-driven platform effectively delivered personalized hair loss treatments, suggesting a data-driven, customized, and accessible self-served alternative for hair loss management. J Drugs Dermatol. 2025;24(3):233-238. doi:10.36849/JDD.8611.