Barreto, Sandhi M.

Deep Neural Network-Estimated Electrocardiographic Age as a Mortality Predictor

Lima, E. M., Ribeiro, A. H., Paixão, G. M. M., Ribeiro, M. H., Pinto-Filho, M. M., Gomes, P. R., Oliveira, D. M., Sabino, E. C., Duncan, B. B., Giatti, L., et al. (2021) · Nature Communications

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 249

Prevalence, Awareness, Treatment and Influence of Socioeconomic Variables on Control of High Blood Pressure: Results of the ELSA-Brasil Study

Chor, D., Pinho Ribeiro, A. L., Sá Carvalho, M., Duncan, B. B., Andrade Lotufo, P., Araújo Nobre, A., Aquino, E. M. L. L. D., Schmidt, M. I., Griep, R. H., Molina, M. D. C. B., et al. (2015) · PLOS ONE

Blood Pressure and Hypertension StudiesSodium Intake and Health

Cited by 239

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

Sangha, V., Nargesi, A. A., Dhingra, L. S., Khunte, A., Mortazavi, B. J., Ribeiro, A. H., Banina, E., Adeola, O., Garg, N., Brandt, C. A., et al. (2023) · Circulation

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 150

Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images

Sangha, V., Nargesi, A. A., Dhingra, L. S., Khunte, A., Mortazavi, B. J., Ribeiro, A. H., Banina, E., Adeola, O., Garg, N., Brandt, C. A., et al. (2022) · Circulation

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 150

Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms

Dhingra, L. S., Aminorroaya, A., Pedroso, A. F., Khunte, A., Sangha, V., McIntyre, D., Chow, C. K., Asselbergs, F. W., Brant, L. C. C., Barreto, S. M., et al. (2025) · JAMA Cardiology

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 65

Thyroid Function and Sarcopenia: Results from the ELSA-Brasil Study

Szlejf, C., Suemoto, C. K., Janovsky, C. C. P. S., Barreto, S. M., Diniz, M. D. F. H. S., Lotufo, P. A., & Bensenor, I. M. (2020) · Journal of the American Geriatrics Society

Nutrition and Health in AgingThyroid Disorders and Treatments

Cited by 60

Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images

Dhingra, L. S., Aminorroaya, A., Sangha, V., Pedroso, A. F., Shankar, S. V., Coppi, A., Foppa, M., Brant, L. C. C., Barreto, S. M., Ribeiro, A. L. P., et al. (2025) · Journal of the American College of Cardiology

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 53

Indicators of Abdominal Adiposity and Carotid Intima-Media Thickness: Results from the Longitudinal Study of Adult Health (ELSA-Brazil)

Eickemberg, M., Amorim, L. D. A. F., Almeida, M. D. C. C. D., Aquino, E. M. L. D., Fonseca, M. D. J. M. D., Santos, I. D. S., Chor, D., Diniz, M. D. F. S., Barreto, S. M., & Matos, S. M. A. D. (2018) · Arquivos Brasileiros de Cardiologia

Cardiovascular Disease and AdiposityCardiovascular Health and Disease Prevention

Cited by 26

Lack of association between depression and C-reactive protein level in the baseline of Longitudinal Study of Adult Health (ELSA-Brasil)

de Menezes, S. T., de Figueiredo, R. C., Goulart, A. C., Nunes, M. A., M. Benseñor, I., Viana, M. C., & Barreto, S. M. (2017) · Journal of Affective Disorders

Tryptophan and brain disordersStress Responses and Cortisol

Cited by 25