ARTIFICIAL INTELLIGENCE IN DERMATOLOGY: CURRENT STATUS AND FUTURE PROSPECTS

Abstract

Artificial intelligence (AI) is revolutionizing dermatology by enhancing diagnostic accuracy, expanding access to care, and personalizing treatment approaches. Current AI technologies, particularly deep learning models, have demonstrated high performance in detecting skin cancers and classifying various dermatologic conditions from clinical and dermoscopic images. AI-powered tools integrated into teledermatology and mobile platforms are improving patient reach, especially in underserved areas. Despite promising results, challenges such as data bias, lack of diversity in training datasets, ethical concerns, and regulatory hurdles persist. Future prospects include combining AI with genomics, wearable devices, and electronic health records to enable precision dermatology. Addressing these challenges through multidisciplinary collaboration will be essential to fully realize AI’s transformative potential in dermatologic practice.