Step-by-step guides for hair loss assessment and treatment planning.
myhairline.ai provides inclusive hair loss tracking for all gender identities and sexual orientations, with condition-specific protocols that do not assume binary gender.
Inconsistent lighting accounts for up to 40% of variance in amateur hair loss photos. Learn the exact lighting setup that produces trackable, clinical-quality results at home.
Hair loss treatment requires lifelong adherence. Learn how to adapt your tracking protocol in years 2, 3, and beyond for maximum retention and trend analysis.
If you are a confirmed low responder to first-line treatment, myhairline.ai helps you systematically test next-line options with the same rigorous density tracking.
Male and female hair loss have fundamentally different patterns. This guide explains the key tracking protocol differences and why male Norwood and female Ludwig benchmarks cannot be interchanged.
Your myhairline.ai density data should become part of your permanent medical record. This guide explains how to add tracking data to your medical record through your patient portal.
Men in their 50s often face advanced Norwood stages and complex treatment decisions. myhairline.ai tracks treatment response and transplant readiness with Norwood 5-7 benchmarks.
42% of men with hair loss report significant impact on self-esteem. Learn how objective tracking data reduces anxiety and gives you a sense of control over your hair loss journey.
Consistent monthly tracking over 6+ months produces statistically significant trend data in 85% of users. Follow this complete monthly protocol to monitor your hair loss accurately.
Treatment motivation for a 12-month hair loss protocol is the hardest part. myhairline.ai uses progress milestones, density benchmarks, and peer comparisons to maintain motivation.
Many users track on both phone and tablet. This guide explains how myhairline.ai syncs across devices and maintains photo consistency when switching cameras.
myhairline.ai's web app allows full report viewing and data management on desktop. This guide explains the web app features and how they complement the mobile experience.