Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study

• Main Authors: Tromp, Jasper, Seekings, Paul J., Hung, Chung-Lieh, Iversen, Mathias Bøtcher, Frost, Matthew James, Ouwerkerk, Wouter, Jiang, Zhubo, Eisenhaber, Frank, Goh, Rick S. M., Zhao, Heng, Huang, Weimin, Ling, Lieng-Hsi, Sim, David, Cozzone, Patrick, Richards, A. Mark, Lee, Hwee Kuan, Solomon, Scott D., Lam, Carolyn S. P., Ezekowitz, Justin A.
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Medicine; Diastolic Dysfunction; Echocardiography
• Online Access: https://hdl.handle.net/10356/164204
• Institution: Nanyang Technological University

Background: Echocardiography is the diagnostic modality for assessing cardiac systolic and diastolic function to diagnose and manage heart failure. However, manual interpretation of echocardiograms can be time consuming and subject to human error. Therefore, we developed a fully automated deep learn...