Published in IEEE Comput. Graph. Appl. , 2023
In this work, we propose MAGES 4.0, a novel software development kit to accelerate the creation of collaborative medical training applications in virtual/augmented reality (VR/AR). Our solution is essentially a low-code metaverse authoring platform for developers to rapidly prototype high-fidelity and high-complexity medical simulations. MAGES breaks the authoring boundaries across extended reality, since networked participants can also collaborate using different VR/AR as well as mobile and desktop devices, in the same metaverse world. With MAGES we propose an upgrade to the outdated 150-year-old masterÐapprentice medical training model. Our platform incorporates, in a nutshell, the following novelties: 1) 5G edge-cloud remote rendering and physics dissection layer, 2) realistic real-time simulation of organic tissues as soft-bodies under 10 ms, 3) a highly realistic cutting and tearing algorithm, 4) neural network assessment for user profiling and, 5) a VR recorder to record and replay or debrief the training simulation from any perspective
Recommended citation: Zikas, P., Protopsaltis, A., Lydatakis, N., Kentros, M., Geronikolakis, S., Kateros, S., Kamarianakis, M., Evangelou, G., Filippidis, A., Grigoriou, E., Angelis, D., Tamiolakis, M., Dodis, M., Kokiadis, G., Petropoulos, J., Pateraki, M., Papagiannakis, G., ÒMAGES 4.0: Accelerating the WorldÕs Transition to VR Training and Democratizing the Authoring of the Medical MetaverseÓ, IEEE Comput. Graph. Appl. 43, 2, 43Ð56. DOI:https://doi.org/10.1109/mcg.2023.3242686, 2023 https://ieeexplore.ieee.org/document/10038619