Authors

  • Bruno Ramos Nascimento, André L. S. Meirelles, Wagner Meira Júnior, Gisele L. Pappa, Maria do Carmo Nunes, Craig Sable, Andrea Beaton, Paulo R. Gomes, Fábio V. Modesto, George Luiz M. Teodoro, Antonio Ribeiro, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, Universidade de Brasília, Brasília, Brazil.

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

 

File: 
PDF icon 1611.full_.pdf