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

• Päätekijät: Bruno Oliveira de Figueiredo Brito (Tekijä), Zachi I Attia (Tekijä), Larissa Natany A Martins (Tekijä), Pablo Perel (Tekijä), Maria Carmo P Nunes (Tekijä), Ester Cerdeira Sabino (Tekijä), Clareci Silva Cardoso (Tekijä), Ariela Mota Ferreira (Tekijä), Paulo R Gomes (Tekijä), Antonio Luiz Pinho Ribeiro (Tekijä), Francisco Lopez-Jimenez (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: Public Library of Science (PLoS), 2021-12-01T00:00:00Z.
• Aiheet: article
• Linkit: 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...