Digital twin (DT) are an emerging frontier in healthcare, offering dynamic, patient-specific virtual models that combine medical imaging, physiological data, and computational simulations to replicate and predict real-world health outcomes. While DT technology is still nascent in the MICCAI community, its potential to transform personalized medicine, surgical planning, and clinical decision-making is immense. This workshop seeks to establish DTs as a vibrant new topic within the MICCAI community, bridging interdisciplinary domains like medical imaging, computational modeling in medicine, biomechanics, and trustworthy AI.
By introducing this workshop, we aim to catalyze discussions on integrating DT models with more conventional medical imaging and computational tools, providing a forum to explore innovations and build a new MICCAI sub-community dedicated to digital twins in healthcare. This workshop is strategically positioned to expand MICCAI’s scope by attracting researchers from fields such as computational modeling, electrophysiology, hemodynamic, biomechanical modeling, and sensor data analysis. DTs not only align with MICCAI topics like image-guided surgery, personalized medicine, and trustworthy AI, but also open doors to underexplored applications, including real-time patient monitoring and population imaging informatics. The workshop also emphasizes inclusivity by addressing affordable and accessible imaging solutions for DTs, especially in under-represented populations.
