Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks

Comorbidities such as anemia or hypertension and physiological factors related to exertion can influence a patient’s hemodynamics and increase the severity of many cardiovascular diseases. Observing and quantifying associations between these factors and hemodynamics can be difficult due to the multi...

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Detalles Bibliográficos
Autores principales: Feiger, Bradley, Gounley, John, Adler, Dale, Leopold, Jane A., Draeger, Erik W., Chaudhury, Rafeed, Ryan, Justin, Pathangey, Girish, Winarta, Kevin, Frakes, David, Michor, Franziska, Randles, Amanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289812/
https://www.ncbi.nlm.nih.gov/pubmed/32528104
http://dx.doi.org/10.1038/s41598-020-66225-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289812/
https://www.ncbi.nlm.nih.gov/pubmed/32528104
http://dx.doi.org/10.1038/s41598-020-66225-0

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