Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation (AF) patients. Nonetheless, CFD solvers are notoriously time-consuming and...

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Detalhes bibliográficos
Publicado no:Front Physiol
Main Authors: Morales Ferez, Xabier, Mill, Jordi, Juhl, Kristine Aavild, Acebes, Cesar, Iriart, Xavier, Legghe, Benoit, Cochet, Hubert, De Backer, Ole, Paulsen, Rasmus R., Camara, Oscar
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Physiology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8274486/
https://ncbi.nlm.nih.gov/pubmed/34262482
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphys.2021.694945
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