Shreyas Bhave, Victor Rodriguez, Timothy Poterucha, Simukayi Mutasa, Dwight Aberle, Kathleen M Capaccione, Yibo Chen, Belinda Dsouza, Shifali Dumeer, Jonathan Goldstein, Aaron Hodes, Jay Leb, Matthew Lungren, Mitchell Miller, David Monoky, Benjamin Navot, Kapil Wattamwar, Anoop Wattamwar, Kevin Clerkin, David Ouyang, Euan Ashley, Veli K Topkara, Mathew Maurer, Andrew J Einstein, Nir Uriel, Shunichi Homma, Allan Schwartz, Diego Jaramillo, Adler J Perotte, Pierre Elias
BACKGROUND AND AIMS: Early identification of cardiac structural abnormalities indicative of heart failure is crucial to improving patient outcomes. Chest X-rays (CXRs) are routinely conducted on a broad population of patients, presenting an opportunity to build scalable screening tools for structural abnormalities indicative of Stage B or worse heart failure with deep learning methods. In this study, a model was developed to identify severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) using CXRs...
March 20, 2024: European Heart Journal