Recent evidence highlights the transformative role of artificial intelligence (AI) in dermatology, particularly for high-burden conditions seen in underserved populations. AI technologies, from image-based diagnostic tools to automated triage systems , are boosting diagnostic accuracy for diseases such as skin cancers, leprosy, and eczema . With growing implementation, reports emphasize improved access to care, especially where dermatology specialists are scarce. Despite these advances, ongoing work is required to address challenges in data diversity, equitable algorithm development, and integration into resource-limited health systems.
To read more about how AI is shaping dermatologic care for vulnerable groups, click here . ##Reference## Sales, C., Coates, S.J. Applications of Artificial Intelligence for High-Burden, Underserved Skin Diseases in Global Settings: a Review. Curr Derm…
