Sex differences in machine learning computed tomography-derived fractional flow reserve

Coronary computed tomography angiography (CCTA) derived machine learning fractional flow reserve (ML-FFR(CT)) can assess the hemodynamic significance of coronary artery stenoses. We aimed to assess sex differences in the association of ML-FFR(CT) and incident cardiovascular outcomes. We studied a re...

Descripción completa

Detalles Bibliográficos
Autores principales: Al Rifai, Mahmoud, Ahmed, Ahmed Ibrahim, Han, Yushui, Saad, Jean Michel, Alnabelsi, Talal, Nabi, Faisal, Chang, Su Min, Cocker, Myra, Schwemmer, Chris, Ramirez-Giraldo, Juan C., Zoghbi, William A., Mahmarian, John J., Al-Mallah, Mouaz H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381799/
https://www.ncbi.nlm.nih.gov/pubmed/35974055
http://dx.doi.org/10.1038/s41598-022-17875-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381799/
https://www.ncbi.nlm.nih.gov/pubmed/35974055
http://dx.doi.org/10.1038/s41598-022-17875-9

Ejemplares similares