AI-ECG for Detecting Left Ventricular Systolic Dysfunction in Chagas Disease: Diagnostic and Prognostic Value.

Clareci Silva Cardoso¹, Kathryn Mangold², José Luiz Padilha da Silva³, Cláudia Di Lorenzo Oliveira⁴, Ariela Mota Ferreira⁵, Lea Campos Oliveira da Silva⁶, Maria do Carmo P Nunes⁷, Wanessa Campos Vinhal¹, Ana Carolina de Oliveira Gonçalves¹, Paulo Rodrigues Gomes⁸, Pablo Perel⁹, Itzhak Zachi Attia², Ester Cerdeira Sabino¹⁰, Francisco Lopez-Jimenez¹¹, Antonio Luiz Pinho Ribeiro¹²

¹Telehealth Center and Research Group in Epidemiology and Evaluation of New Technologies in Health, Federal University of São João del-Rei, Divinópolis, Brazil.

²Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.

³Universidade Federal do Paraná, Brazil.

⁴Federal University of São João del-Rei, Divinópolis, Curitiba, Paraná, Brazil.

⁵State University of Montes Claros, Montes Claros, Brazil.

⁶Hospital das Clínicas de São Paulo FMUSP, São Paulo, Brazil.

⁷Department of Internal Medicine, Faculdade de Medicina, and Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

⁸Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

⁹London School of Hygiene & Tropical Medicine, London, England.

¹⁰University of São Paulo, São Paulo, Brazil.

¹¹Cardiovascular Medicine, Mayo Clinic, Rochester, Minessota, USA.

¹²Department of Internal Medicine, Faculdade de Medicina, and Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. Electronic address: alpr1963br@gmail.br.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Left ventricular systolic dysfunction (LVSD) is the main predictor of mortality in Chagas disease (ChD). Although LVSD can be treated with affordable medications, its diagnosis relies on cardiac imaging, which is often unavailable in resource-limited settings. OBJECTIVES: The objective of the study was to evaluate an artificial intelligence-enabled electrocardiogram (AI-ECG) for detec…

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