Track 37: AI and Machine Learning in Dermatology Diagnostics

AI and Machine Learning in Dermatology Diagnostics

AI and Machine Learning in Dermatology Diagnostics are transforming the landscape of dermatologic care by enhancing diagnostic precision, efficiency, and accessibility. Leveraging advanced algorithms and large-scale image datasets, artificial intelligence systems can now accurately detect, classify, and predict a wide range of skin conditions—from benign lesions to malignant melanomas—with a level of accuracy comparable to expert dermatologists.

These technologies enable early disease detection, risk stratification, and personalized treatment planning, significantly improving patient outcomes. Machine learning models are also being integrated into teledermatology, mobile health applications, and digital pathology, making dermatologic expertise more accessible to underserved regions and primary care settings.

The session on AI and Machine Learning in Dermatology Diagnostics will bring together dermatologists, data scientists, and technology innovators to discuss the latest breakthroughs in AI-driven diagnostic tools and predictive analytics. Topics will include deep learning algorithms for image analysis, clinical decision support systems, data ethics, and the integration of AI into everyday dermatologic practice. Participants will gain insights into how artificial intelligence is reshaping clinical workflows, research, and the future of precision dermatology.