Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine

INTRODUCTION: The computational modelling of blood flow is known to provide vital hemodynamic parameters for diagnosis and treatment-support for patients with valvular heart disease. However, most diagnosis/treatment-support solutions based on flow modelling proposed utilize time- and resource-inten...

Descripción completa

Detalles Bibliográficos
Autores principales: Yevtushenko, Pavlo, Goubergrits, Leonid, Franke, Benedikt, Kuehne, Titus, Schafstedde, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020717/
https://www.ncbi.nlm.nih.gov/pubmed/36937926
http://dx.doi.org/10.3389/fcvm.2023.1136935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020717/
https://www.ncbi.nlm.nih.gov/pubmed/36937926
http://dx.doi.org/10.3389/fcvm.2023.1136935

Ejemplares similares