Health AI Central
Peer-Reviewed Publication
Arq Bras Cardiol2026;123(5):e20260032.May 1, 2026Journal Article

Artificial Intelligence-Enhanced Electrocardiography Analysis for Diagnosing Chagas Disease.

Isabella Moreira Gonzalez Fonseca1,2, Maria Carmo Pereira Nunes1,2, Craig Sable3, Renata Fonseca Mendoza4, Fred Luciano Neves Santos5,6, Paulo Rodrigues Gomes2, Adson Patrik Vieira Carvalho1, Bernardo Fonseca Mendoza4, Noilson Lazaro Souza5, José Augusto de Almeida Barbosa1, Clareci Silva Cardoso7, Bruno Ramos Nascimento1,8,9, Antonio L P Ribeiro1,2
1Serviço de Cardiologia e Cirurgia Cardíaca, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brasil.
2Centro de Telessaúde e Serviço de Cardiologia, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brasil.
3Cardiovascular Outreach and Telemedicine Ochsner Children's Hospital, New Orleans, LA - EUA.
4Hospital da Criança de Feira de Santana, Feira de Santana, BA - Brasil.
5Oswaldo Cruz (Fiocruz), Salvador, BA - Brasil.
6Programa Translacional Integrado em Doença de Chagas (Fio-Chagas), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ - Brasil.
7Laboratório Avançado de Saúde Pública, Instituto Gonçalo Moniz, Fundação Faculdade de Medicina, Universidade Federal de São João del-Rei, Divinópolis, MG - Brasil.
8Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brasil.
9Serviço de Cardiologia Intervencionista, Hospital Madre Teresa, Belo Horizonte, MG - Brasil.
PubMed DOI

Abstract

BACKGROUND: Chagas disease affects millions worldwide and remains a leading cause of cardiomyopathy in Latin America. Early diagnosis remains challenging in endemic regions. Artificial intelligence (AI)-based electrocardiography (ECG) analysis may offer a low-cost strategy for large-scale screening in resource-limited settings. OBJECTIVES: To evaluate the performance of an AI-ECG algorithm combin…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.