MAGES 3.0: Tying the knot of medical VR
George Papagiannakis
Paul Zikas
Nick Lydatakis
Steve Kateros
Mike Kentros
Efstratios Geronikolakis
Manos N. Kamarianakis
Ioanna Kartsonaki
Giannis Evangelou

Abstract
In this work, we present MAGES 3.0, a novel Virtual Reality (VR)-based authoring SDK platform for accelerated surgical training and assessment. The MAGES Software Development Kit (SDK) allows code-free prototyping of any VR psychomotor simulation of medical operations by medical professionals, who urgently need a tool to solve the issue of outdated medical training. Our platform encapsulates the following novel algorithmic techniques: a) collaborative networking layer with Geometric Algebra (GA) interpolation engine b) supervised machine learning analytics module for real-time recommendations and user profiling c) GA deformable cutting and tearing algorithm d) on-the-go configurable soft body simulation for deformable surfaces.
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