Computational Medical XR (CMXR): Pioneering the Future of Healthcare Through Computational Medicine and Extended Reality
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" and "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 hard problems in medicine and neuroscience: from low-code/no-code/genAI authoring platforms to deep learning XR systems for training, planning, real-time operative navigation, therapeutics, and rehabilitation.
Authors
- Oliver Alan Kannape (ORCID: https://orcid.org/0000-0002-2930-4118)
- George Papagiannakis (ORCID: https://orcid.org/0000-0002-2977-9850)
Institutions
- L.A.C. (Switzerland) (CH)
- University Hospital of Geneva (CH)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1145/3680532.3689590
- Primary Topic
- Digital Imaging in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 0.00