Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients–The SaMi-Trop cohort

BACKGROUND: Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is relatively common and its treatment using low-cost drugs can improve symptoms and reduce mortality. Recently, an artificial intelligence (AI)-enabled ECG algorithm showed excellent accuracy to detect LVSD in a genera...

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Detalles Bibliográficos
Autores principales: Brito, Bruno Oliveira de Figueiredo, Attia, Zachi I., Martins, Larissa Natany A., Perel, Pablo, Nunes, Maria Carmo P., Sabino, Ester Cerdeira, Cardoso, Clareci Silva, Ferreira, Ariela Mota, Gomes, Paulo R., Luiz Pinho Ribeiro, Antonio, Lopez-Jimenez, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675930/
https://www.ncbi.nlm.nih.gov/pubmed/34871321
http://dx.doi.org/10.1371/journal.pntd.0009974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675930/
https://www.ncbi.nlm.nih.gov/pubmed/34871321
http://dx.doi.org/10.1371/journal.pntd.0009974

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