From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research

This scoping review systematically maps the use of AI and ML in alopecia research, highlighting the evolution from diagnostic tools to more advanced prognostic frameworks. It identifies the dominance of CNNs for image-based diagnosis, limited multimodal integration, and a lack of prognostic or causal modeling. Key gaps include the need for generative prognosis frameworks, fairness evaluations, privacy-aware systems, and treatment-response prediction. The review provides a taxonomy of AI approaches, visual aids, and recommendations for future research, emphasizing the development of equitable AI tools for personalized prognosis and treatment planning in alopecia care.