Research evidence
Centro de Inovação em Inteligência Artificial para a Saúde · Universidade Federal de Minas Gerais (UFMG)
← Back to the lab profilePublications & preprints
Papers by the lab’s listed researchers in Health AI Central’s research database, newest first.
- Identifying Cardiac Autoantibody Biomarkers that Predict the Severity of Chagas Cardiomyopathy.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Artificial intelligence-enabled electrocardiography for detection of left ventricular diastolic dysfunction: a systematic review and meta-analysis.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Global, Regional, and National Burden of Heart Failure, 1990-2023: A Systematic Analysis for the Global Burden of Disease Study 2023.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Waist Circumference, Relative Fat Mass Index, and BMI as Classifiers of Diabetes Status: A Comparative, Cross-sectional Analysis in 82 Low- and Middle-Income Countries.PubMed ↗
Lab researcherDeborah Carvalho Malta
- Opportunistic Screening for Chagas Disease Using an Artificial Intelligence-Enabled ECG: Prospective Evaluation of Feasibility and Diagnostic Accuracy.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Diagnostic performance of plasma pTau217 in genetically admixed South American populations.PubMed ↗
Lab researcherDebora Marques de Miranda
- Artificial intelligence-enhanced electrocardiography for the prediction of future type 2 diabetes mellitus: a model-development and multicentre validation study.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Global Burden of Elevated LDL-C: Findings From the Global Burden of Disease Study 2023.PubMed ↗
Lab researcherDeborah Carvalho Malta
- Effectiveness and Safety of Cannabis-Based Products for Refractory Epilepsy From Real-World Evidence.PubMed ↗
Lab researcherAugusto Afonso Guerra Junior
- AI-ECG for Detecting Left Ventricular Systolic Dysfunction in Chagas Disease: Diagnostic and Prognostic Value.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Artificial intelligence-enabled electrocardiography to triage echocardiography for structural heart disease diagnosis in a low-resource setting.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Large Language Model-Generated Patient Instructions for Prescriptions in Primary Health Care: Preclinical Algorithm Validation.PubMed ↗
Lab researcherAdriana Silvina Pagano
- CODE-II: a large-scale dataset for artificial intelligence in ECG analysis.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- A deep learning ECG model for identification and localization of occlusion myocardial infarction.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Artificial Intelligence-Enhanced Electrocardiography Analysis for Diagnosing Chagas Disease.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Artificial Intelligence-Derived ECG-Age as a Predictor of Mortality and Cardiovascular Events: A Systematic Review and Meta-Analysis.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Association Between Life-Course Social and Racial Inequities and the Incidence of Major ECG Abnormalities in the ELSA-Brasil Cohort.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro
- Toward a Mechanistic Framework for Intestinal Drug Permeability: Integrating In Silico Modeling with Biorelevant Assays.PubMed ↗
Lab researcherFernanda Guilhon Simplicio
- Implantation of Pacemakers in Patients with Chagas disease: A Case-Control Study of Associated Contextual Factors and Prognosis.PubMed ↗
Lab researcherAntônio Luiz Pinho Ribeiro