We invite original research contributions on digital twins for healthcare. Papers should be a maximum of 8 pages (including text, figures, and tables) with up to 2 additional pages for references. Submissions must follow the Springer LNCS format (Latex or MS Word templates) and undergo double-blind peer review. The workshop will be held in person only, and authors of accepted papers are required to present their work in person.
All submissions will be reviewed by external experts and the organizing committee for oral or poster presentation. Accepted papers will be published with Springer LNCS, and the best papers will be recognized with industry-sponsored awards. We encourage both theoretical and applied research, including proof-of-concept studies that explore novel directions in digital twins. As MICCAI expands its global reach, we especially welcome submissions that address challenges in digital twins for low- and middle-income countries. This workshop will also feature live demonstrations, allowing authors to showcase their digital twin applications in AI-driven modeling, real-time simulations, and clinical decision support.
Submissions should be made via OpenReview system, with email registration required before submission. If you experience any issues, please contact the Program Chairs via the submission platform or email. We invite contributions on topics such as: