Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
Anzai et al. propose a deep learning approach to estimate the 3D hemodynamics of complex aorta-coronary artery geometry in the context of coronary artery bypass surgery. Their method reduces the calculation time 600-fold, while allowing high resolution and similar accuracy as traditional computation...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-01-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-020-01638-1 |