Impact of coronary computed tomography angiography-derived fractional flow reserve based on deep learning on clinical management

BACKGROUND: To examine the value of coronary computed tomography angiography (CCTA)-derived fractional flow reserve based on deep learning (DL-FFRCT) on clinical practice and analyze the limitations of the application of DL-FFRCT. METHODS: This is an observational, retrospective, single-center study...

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Detalles Bibliográficos
Autores principales: Pan, Yueying, Zhu, Tingting, Wang, Yujijn, Deng, Yan, Guan, Hanxiong
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/PMC9931728/
https://www.ncbi.nlm.nih.gov/pubmed/36818335
http://dx.doi.org/10.3389/fcvm.2023.1036682

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931728/
https://www.ncbi.nlm.nih.gov/pubmed/36818335
http://dx.doi.org/10.3389/fcvm.2023.1036682

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