This study explores the integration of Artificial Intelligence (AI) into dermatological and cosmetic practice with the aim of increasing the objectivity and reproducibility of skin diagnostics. Traditional evaluation of the skin’s condition is primarily based on clinical examination and visual diagnostics, which, in spite of the high importance of clinical experience and expertise, are closely related to subjectivity and limitations in tracing changes or developments of a condition over a prolonged period of time.
The aim of this study is the analysis of contemporary publications discussing the application of Artificial Intelligence, with a focus on digital dermatological diagnostics, personalized skin care, and the role of intelligent diagnostic systems as a complementary tool for medical specialists.
Materials and Methods: A search for scientific publications was conducted in the online databases Google Scholar and ResearchGate, utilizing the following keywords: artificial intelligence; dermatological diagnostics; digital imaging; personalized therapy; dermato-cosmetics. The research period spans the months of September to November 2025.
Results: This article covers 51 publications representing studies conducted between 2015 and 2025 related to the application of AI in dermatological diagnostics and in the development of personalized therapeutic approaches. The development of AI models is supported by the existence of large databases, which create conditions for improving algorithms and increasing their diagnostic reliability. Various deep learning approaches emerge as a key factor in the integration of AI into dermatological practice for the automated analysis of skin images and stratification of skin parameters.
Conclusion: The use of Artificial Intelligence contributes to more precise diagnostics, an individualized therapeutic approach, and objective monitoring of the effects of dermatological and dermato-cosmetic interventions. It does not replace but complements the clinical expertise of specialists. Artificial Intelligence has significant potential to enhance the efficiency and precision of dermatological and dermato-cosmetic practice, while requiring regulation, responsibility, and prioritization of patient safety and well-being.
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