Dhingra, Lovedeep S.
Yale University
13 papers on CoChatORCID 0000-0002-5664-4126
Most cited papers
- Verified
Use of wearable devices in individuals with or at risk for cardiovascular disease in the US, 2019 to 2020
Dhingra, L. S., Aminorroaya, A., Oikonomou, E. K., Nargesi, A. A., Wilson, F. P., Krumholz, H. M., & Khera, R. (2023) · JAMA Network Open
Mobile Health and mHealth ApplicationsNon-Invasive Vital Sign Monitoring
Cited by 158
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes
Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Pedroso Camargos, A., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., et al. (2024) · Journal of the American College of Cardiology
Diabetes Treatment and ManagementHeart Failure Treatment and Management
Cited by 47
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Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study
Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Camargos, A. P., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., et al. (2024) · Journal of the American College of Cardiology
Diabetes Treatment and ManagementHeart Failure Treatment and Management
Cited by 46
- Verified
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
- Verified
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
- Verified
Natural language processing of clinical documentation to assess functional status in patients with heart failure
Adejumo, P., Thangaraj, P. M., Dhingra, L. S., Aminorroaya, A., Zhou, X., Brandt, C., Xu, H., Krumholz, H. M., & Khera, R. (2024) · JAMA Network Open
Nursing Diagnosis and DocumentationMachine Learning in Healthcare
Cited by 36
- Verified
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
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