Real‐time biomechanics using the finite element method and machine learning: Review and perspective

Purpose The finite element method (FEM) is the preferred method to simulate phenomena in anatomical structures. However, purely FEM‐based mechanical simulations require considerable time, limiting their use in clinical applications that require real‐time responses, such as haptics simulators. Machin...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 48; H. 1; S. 7 - 18
Hauptverfasser:	Phellan, Renzo, Hachem, Bahe, Clin, Julien, Mac‐Thiong, Jean‐Marc, Duong, Luc
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.01.2021
Schlagworte:	Algorithms Biomechanical Phenomena biomechanical simulation, finite element modelling, machine learning, neural network, real‐time Computer Simulation Finite Element Analysis Machine Learning biomechanical simulation, finite element modelling, machine learning, neural network, real-time
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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