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

• Main Authors: Bruno Oliveira de Figueiredo Brito (Author), Zachi I Attia (Author), Larissa Natany A Martins (Author), Pablo Perel (Author), Maria Carmo P Nunes (Author), Ester Cerdeira Sabino (Author), Clareci Silva Cardoso (Author), Ariela Mota Ferreira (Author), Paulo R Gomes (Author), Antonio Luiz Pinho Ribeiro (Author), Francisco Lopez-Jimenez (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2021-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

<h4>Background</h4>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 dete...