A computational medical XR discipline

George Papagiannakis; Walter Greenleaf; Michael Cole; Mark Zhang; Rabi Datta; Mathias Delahaye; Eleni Grigoriou; Manos Kamarianakis; Antonis Protopsaltis; Philippe Bijlenga; Nadia Magnenat-Thalmann; Eleftherios Tsiridis; Eustathios Kenanidis; Kyriakos Vamvakidis; Ioannis Koutelidakis; Oliver A Kannape

arXiv · 2108.04136

A computational medical XR discipline

George Papagiannakis·Walter Greenleaf·Michael Cole·Mark Zhang·Rabi Datta·Mathias Delahaye·Eleni Grigoriou·Manos Kamarianakis·Antonis Protopsaltis·Philippe Bijlenga·Nadia Magnenat-Thalmann·Eleftherios Tsiridis·Eustathios Kenanidis·Kyriakos Vamvakidis·Ioannis Koutelidakis·Oliver A Kannape

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Abstract

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.

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George Papagiannakis, Walter Greenleaf, Michael Cole, Mark Zhang, Rabi Datta, Mathias Delahaye, Eleni Grigoriou, Manos Kamarianakis, Antonis Protopsaltis, Philippe Bijlenga, Nadia Magnenat-Thalmann, Eleftherios Tsiridis, Eustathios Kenanidis, Kyriakos Vamvakidis, Ioannis Koutelidakis, Oliver A Kannape. 2021-08-09. A computational medical XR discipline. https://arxiv.org/abs/2108.04136

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