Emerging Roles for Artificial Intelligence in Heart Failure Imaging
Document Type
Journal Article
Publication Date
10-1-2023
Journal
Heart failure clinics
Volume
19
Issue
4
DOI
10.1016/j.hfc.2023.03.005
Keywords
Artificial intelligence; Cardiac imaging; Cardiomyopathy; Heart failure; Machine learning
Abstract
Artificial intelligence (AI) applications are expanding in cardiac imaging. AI research has shown promise in workflow optimization, disease diagnosis, and integration of clinical and imaging data to predict patient outcomes. The diagnostic and prognostic paradigm of heart failure is heavily reliant on cardiac imaging. As AI becomes increasingly validated and integrated into clinical practice, AI influence on heart failure management will grow. This review discusses areas of current research and potential clinical applications in AI as applied to heart failure cardiac imaging.
APA Citation
Bradley, Andrew J.; Ghawanmeh, Malik; Govi, Ashley M.; Covas, Pedro; Panjrath, Gurusher; and Choi, Andrew D., "Emerging Roles for Artificial Intelligence in Heart Failure Imaging" (2023). GW Authored Works. Paper 3690.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/3690
Department
Medicine