Key result
Multi-physics computational heart model simulates electrophysiology, mechanics, and hemodynamics in healthy and MI conditions.
Why the study?
The study was conducted to develop a multi-physics computational model of the human heart that enables cardiovascular simulations of physiologic and pathologic conditions within a time-to-solution compatible with clinical practice.
Answers are grounded in this paper and cite their sources.
A high-fidelity, GPU-accelerated multi-physics computational model of the human heart demonstrates potential for clinical application in simulating healthy and infarcted states.
We present a multi--physics computational model of the human heart accounting for the electrophysiology, elasto-mechanics, and hemodynamics, including their complex interactions. The model is accurate and computationally efficient and, thanks to the implementation on GPU architectures, it allows cardiovascular simulations of physiologic and pathologic configurations within a time--to--solution compatible with clinical practice. Results are shown for healthy conditions and for myocardial infarction with the aim of assessing the reliability and predictive capabilities of the model which can be used to anticipate the outcome of surgical procedures or support clinical decisions.
No takes yet. Share an insight, caveat, or question.
Viola et al. (2023) studied Healthy conditions and myocardial infarction. Multi-physics computational model of the human heart was evaluated. A multi-physics computational model of the human heart was developed to simulate electrophysiology, elasto-mechanics, and hemodynamics in healthy and myocardial infarction conditions.
Synapse has enriched 10 related papers. Consider them for comparative context: