The article presents an analysis of the application of artificial intelligence technologies in the personalization of hairstyles and the diagnosis of hair conditions, conducted within an interdisciplinary paradigm that integrates hairdressing, trichology, dermatology, and computer vision. The methodological basis of the study is a content analysis of academic sources focused on generative models for virtual hairstyle visualization, hair segmentation algorithms, automated scalp diagnostics, and digital tools for assessing hair structure. Two key areas of artificial intelligence application are systematized: personalization of images through virtual try-on and automated diagnosis of hair and scalp conditions. Analytical tables are presented describing AI tools for personalization, diagnostic methods for hair, and a comparison of the strengths and weaknesses of technologies. The analysis shows that the integration of artificial intelligence enhances the transparency of stylist recommendations, strengthens client trust, and reduces the likelihood of errors in care selection. Key challenges are identified, including the need to expand training datasets to account for the diversity of hair types, adapt models to everyday photographs, and develop applications integrated into professional practice. The results confirm the high practical relevance of digital solutions for the beauty industry and justify the prospects for implementing AI tools in hairdressing practice. The article will be useful for hairdressers-stylists, trichologists, dermatologists, computer vision researchers, and developers of software solutions for the beauty industry.
Anna Dieriahina (Fri,) studied this question.