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The advancement in computer technologies and the transference of these technologies to simulators for medical education continues to be a driving force in medical education. The complexities of surgical training and the emergence of minimally invasive surgery (MIS) as a primary surgical mode have pushed the surgical simulator to the forefront of surgical education. Simulators are now developed by...
In this work we present PhyNeSS - a novel physics-driven neural networks-based surgical simulation system which, for the first time, combines the complexity and accuracy of physics-based non-linear soft tissue models and commercial finite element codes with the high speed of execution of machine learned neural networks. While soft tissue is inherently nonlinear, physics-based simulation of nonlinear...
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