The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and administrative data (age and sex).
Patients with male or female pattern hair loss diagnosed clinically or suspected clinically and confirmed trichoscopically
Age of disease onset 12-50 years old
Both genders
Any grade of androgenetic alopecia
Patients with patchy hair loss or Telogen effluvium only.
Patients with cicatricial alopecia or diffuse alopecia areata
Patients with inflammatory scalp disorders (psoriasis, seborrheic dermatitis, lichen planopilaris and frontal fibrosing alopecia in a pattern distribution)
Lack of patient cooperation.