A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges

A 35-year-old with alopecia areata has tried finasteride, topical and oral minoxidil, and dutasteride without success in stopping hair loss. The dermatologist suggests JAK inhibitors, but they are too costly, leading to uncertainty about the cause of hair loss.

A user created a web app called TrichoMetrics to track hair loss using photos and metrics like density and thinning. The app supports tracking treatments like Minoxidil and finasteride, with features for setting baselines, comparing progress, and logging treatment adherence.

A user is developing an AI-powered app for hair loss that includes features like hair loss stage detection and hairline tracking. They seek feedback to ensure the app is useful and emphasize privacy and affordability.

The user is experiencing hair loss with possible causes including chronic telogen effluvium, diffuse alopecia areata, and androgenic alopecia. They have tried treatments like Nizoral shampoo, minoxidil, and finasteride, and are considering a biopsy for further clarity.

The user has been managing hair loss for over 15 years, using treatments like Minoxidil, Finasteride, and corticosteroids, while experiencing side effects and recurrent Alopecia Areata. They seek advice on progression and potential underlying conditions, questioning if their hair loss is due to an autoimmune issue beyond typical patterns.

A user developed AI software to simulate hair transplants on photos, helping people visualize potential results. The tool offers photo-realistic renderings but advises caution regarding exact outcomes due to various factors.