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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274486/
https://www.ncbi.nlm.nih.gov/pubmed/34262482
http://dx.doi.org/10.3389/fphys.2021.694945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274486/
https://www.ncbi.nlm.nih.gov/pubmed/34262482
http://dx.doi.org/10.3389/fphys.2021.694945

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