Artificial Intelligence in Dermatology: A Scoping Review

January 2026 in “ Vestnik dermatologii i venerologii ”

Yuriy A. Vasilev, Vsevolod N. Galkin, Р А Раводин, Olga Nanova, Nikita A. Savin, Ivan A. Blokhin, Oleg I. Mynko, Anton V. Vladzymyrskyy, Olga V. Omelyanskaya

AI in dermatology malignant skin neoplasms melanoma AI algorithms medical devices mobile applications diagnostic accuracy

Studysummary This review found that AI in dermatology shows high diagnostic accuracy comparable to experienced clinicians, but integration into clinical practice faces challenges requiring further research.

Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer

This scoping review evaluates the integration of artificial intelligence (AI) in dermatology, focusing on its application in diagnosing skin conditions such as melanoma and alopecia areata. Analyzing 41 research articles from 2019 to 2025, the review highlights that AI, particularly deep learning neural networks, has achieved high diagnostic accuracy, with a median sensitivity of 84.06% and specificity of 97.84% for skin malignancies. However, challenges such as lack of external validation, potential conflicts of interest, and systematic bias due to unbalanced sample selection are noted. Despite these issues, AI shows promise in enhancing diagnostic accuracy, especially for less experienced practitioners, but further validation and methodological improvements are necessary.

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