This book, LNCS 16193, constitutes the proceedings of the First International Workshop on Digital Twin for Healthcare, DT4H 2025, held in conjunction with MICCAI 2025, in Daejeon, South Korea, during September 23, 2025.
The 15 full papers included in the book were carefully reviewed and selected from 24 submissions. They deal with integrating Digital Twin frameworks with conventional medical imaging and computational tools, focusing on topics such as organ- and disease-specific DT modeling; multi-modal data integration; AI-driven simulation and prediction; DT-guided diagnostic and treatment planning; etc.
Lei Li
Digital twin modeling Multi-modal data integration AI-driven simulation and prediction Digital twin-guided clinical decision making Validation and uncertainty quantification Trustworthy and explainable AI Federated and scalable learning Clinical translation and ethical challenges