Computational Medical Extended Reality (CMXR), brings together life sciences and neuroscience with mathematics, engineering and computer science. It unifies computational science (scientific computing) with intelligent extended reality and spatial computing for the medical field. It significantly differs from previous "Clinical XR" or "Medical XR" terms, as it is focusing on how to integrate computational methods from neural simulation to computational geometry, computational vision and computer graphics with deep learning models to solve specific hard problems in medicine and neuroscience: from low/no-code/genAI authoring platforms to deep learning XR systems for training, planning, operative navigation, therapy and rehabilitation.
Cite
@article{arxiv.2108.04136,
title = {A computational medical XR discipline},
author = {George Papagiannakis and Walter Greenleaf and Michael Cole and Mark Zhang and Rabi Datta and Mathias Delahaye and Eleni Grigoriou and Manos Kamarianakis and Antonis Protopsaltis and Philippe Bijlenga and Nadia Magnenat-Thalmann and Eleftherios Tsiridis and Eustathios Kenanidis and Kyriakos Vamvakidis and Ioannis Koutelidakis and Oliver A Kannape},
journal= {arXiv preprint arXiv:2108.04136},
year = {2024}
}