Sechenov University creates digital databases for hair and facial skin diseases

Sechenov Clinic of Skin Diseases has developed two unique datasets designed to train artificial intelligence to make accurate diagnoses from photographs: the "Digital Twin of Hair Diseases" and the "Register of Morphofunctional Signs of Facial Skin."

Doctors manually annotated over ten thousand photographs, marking different pathological zones—from spider veins and peeling to skin discoloration and various types of rashes. This will help AI distinguish between diseases with similar symptoms, such as different types of bumps and papules, which could indicate anything from acne to sarcoidosis.

Sechenov University already has practical experience in implementing such solutions with the "BeautyScan" system, which analyzes skin conditions from photos (a joint development with "SkanderM"). Currently, a similar system for diagnosing nail diseases is under development.

Both new datasets have already been acquired by specialized organizations, including the State Scientific Center for Dermatovenereology and Cosmetology.