Sangha, Veer

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

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

Khunte, A., Sangha, V., Oikonomou, E. K., Dhingra, L. S., Aminorroaya, A., Mortazavi, B. J., Coppi, A., Brandt, C. A., Krumholz, H. M., & Khera, R. (2023) · npj Digital Medicine

ECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring

Cited by 95

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

Artificial intelligence-enhanced risk stratification of cancer therapeutics-related cardiac dysfunction using electrocardiographic images

Oikonomou, E. K., Sangha, V., Dhingra, L. S., Aminorroaya, A., Coppi, A., Krumholz, H. M., Baldassarre, L. A., & Khera, R. (2025) · Circulation: Cardiovascular Quality and Outcomes

Chemotherapy-induced cardiotoxicity and mitigationCardiovascular Function and Risk Factors

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

Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning

Sangha, V., Dhingra, L. S., Aminorroaya, A., Croon, P. M., Sikand, N. V., Sen, S., Martinez, M. W., Maron, M. S., Krumholz, H. M., Asselbergs, F. W., et al. (2025) · Nature Cardiovascular Research

ECG Monitoring and AnalysisCardiomyopathy and Myosin Studies

Cited by 41

Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning

Sangha, V., Dhingra, L. S., Aminorroaya, A., Croon, P. M., Sikand, N. V., Sen, S., Martinez, M. W., Maron, M. S., Krumholz, H. M., Asselbergs, F. W., et al. (2023) · Nature Cardiovascular Research

ECG Monitoring and AnalysisCardiomyopathy and Myosin Studies

Cited by 38

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers

Dhingra, L. S., Sangha, V., Aminorroaya, A., Bryde, R., Gaballa, A., Ali, A. H., Mehra, N., Krumholz, H. M., Sen, S., Kramer, C. M., et al. (2025) · The American Journal of Cardiology

Cardiomyopathy and Myosin StudiesECG Monitoring and Analysis

Cited by 18

Tracking the Preclinical Progression of Transthyretin Amyloid Cardiomyopathy Using Artificial Intelligence-Enabled Electrocardiography and Echocardiography

Oikonomou, E. K., Sangha, V., Vasisht Shankar, S., Coppi, A., Krumholz, H. M., Nasir, K., Miller, E. J., Gallegos-Kattan, C., Al-Mallah, M. H., Al-Kindi, S., et al. (2024) · medRxiv

Amyloidosis: Diagnosis, Treatment, OutcomesArtificial Intelligence in Healthcare and Education

Cited by 7