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This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.

This review highlights the need for inclusive dermatology practices to address variations in skin conditions globally by incorporating tools like AI, teledermatology, and culturally competent education.

In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.

This review explores the skin benefits of exercise and discusses how artificial intelligence can tailor exercise programs to individual skin health needs, emphasizing the potential of AI-driven strategies in cosmetic dermatology for more personalized and adaptive skincare approaches.

This study describes a new treatment algorithm for alopecia areata that includes both disease severity and quality-of-life considerations, highlighting recent therapeutic advances and the need for future validation and access equity.