Artificial intelligence application in dermatology



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Abstract

Dermatology is a field of medicine where morphological studies can be applied successfully for skin diseases diagnostics due to easy access and visualization of pathological site. Artificial intelligence was emerged as a powerful instrument in biomedicine where skin diseases can be considered to be one of the most representative subject for it’s application.

Present paper describes results of research data about artificial intelligence technologies adaptation in dermatology. Total 120 research papers were analyzed published between 2020-2025 in accordance to Pubmed database. The survey underlines usefulness of artificial intelligence technologies as a tool for skin cancer diagnostics. Representative number of images is crucial for melanoma diagnostics machine learning and neural network-based tools due to evident heterogeneity of a tumor. Images augmentation can increase efficiency of artificial intelligence based algorithms for atopic dermatitis, alopecia, rosacea, and acne diagnostics. Besides, artificial intelligence can be applied for educational purposes in dermatology professional trainings.

In a meantime patients express concerns about ethical aspects of artificial intelligence integration into clinical workflow that allows to consider this approach as innovative but additional tool for medical practice.

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About the authors

Tatiana Ruksha

Krasnoyarsk State Medical University

Author for correspondence.
Email: tatyana_ruksha@mail.ru
ORCID iD: 0000-0001-8142-4283

professor, head of pathophysiology department

Russian Federation, Krasnoyarsk, P. Zeleznyak str., 1

Ekaterina Ziyadkhanovna Lapkina

krasnoyarsk State Medical University

Email: e.z.lapkina@mail.ru
ORCID iD: 0000-0002-7226-9565

Ass. professor of Pathophysiology Dept.

Russian Federation, Krasnoyarsk, P. Zeleznyaka str., 1

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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ЭЛ № ФС 77 - 80653 от 15.03.2021 г.