Artificial Intelligence in Trichology: Usage and Prospects

Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.

This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.

This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

This study reviews the recent advancements in artificial intelligence applications in dermatology and dermatopathology, highlighting its role in diagnosing skin cancer, its impact on clinical investigations, and the potential and limitations of AI technology within these fields.