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

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

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

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Bibliographic Details
Main Authors: Mahmoud Al Rifai, Ahmed Ibrahim Ahmed, Yushui Han, Jean Michel Saad, Talal Alnabelsi, Faisal Nabi, Su Min Chang, Myra Cocker, Chris Schwemmer, Juan C. Ramirez-Giraldo, William A. Zoghbi, John J. Mahmarian, Mouaz H. Al-Mallah
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-17875-9

Internet

https://doi.org/10.1038/s41598-022-17875-9

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