Background: The burden of Rheumatic Heart Disease (RHD) is concentrated in low-income countries, where health resources are scarce. Echocardiographic (echo) screening is the gold standard for diagnosis of latent RHD; however, personnel shortages limit broad implementation. To address this issue, we aimed to develop a machine-learning computer network for automatic detection of echo views to be used in further steps of our solution for RHD screening for prioritization of follow-up.
Where: Journal of the American College of Cardiology Mar 2019, 73 (9 Supplement 1) 1611; DOI: 10.1016/S0735-1097(19)32217-X
Abstract available below