Lovedeep Singh Dhingra, MBBS, MHS
Associate Research ScientistAbout
Research
Publications
Featured Publications
Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study
Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Asselbergs F, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study. European Heart Journal 2025, 46: 1044-1053. PMID: 39804243, PMCID: PMC12086686, DOI: 10.1093/eurheartj/ehae914.Peer-Reviewed Original ResearchEnsemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD
Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Shankar S, Coppi A, Foppa M, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD. Journal Of The American College Of Cardiology 2025, 85: 1302-1313. PMID: 40139886, PMCID: PMC12199746, DOI: 10.1016/j.jacc.2025.01.030.Peer-Reviewed Original ResearchArtificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms
Dhingra L, Aminorroaya A, Pedroso A, Khunte A, Sangha V, McIntyre D, Chow C, Asselbergs F, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms. JAMA Cardiology 2025, 10: 574-584. PMID: 40238120, PMCID: PMC12004248, DOI: 10.1001/jamacardio.2025.0492.Peer-Reviewed Original ResearchUse of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020
Dhingra L, Aminorroaya A, Oikonomou E, Nargesi A, Wilson F, Krumholz H, Khera R. Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020. JAMA Network Open 2023, 6: e2316634. PMID: 37285157, PMCID: PMC10248745, DOI: 10.1001/jamanetworkopen.2023.16634.Peer-Reviewed Original ResearchMultinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM
Khera R, Dhingra L, Aminorroaya A, Li K, Zhou J, Arshad F, Blacketer C, Bowring M, Bu F, Cook M, Dorr D, Duarte-Salles T, DuVall S, Falconer T, French T, Hanchrow E, Horban S, Lau W, Li J, Liu Y, Lu Y, Man K, Matheny M, Mathioudakis N, McLemore M, Minty E, Morales D, Nagy P, Nishimura A, Ostropolets A, Pistillo A, Posada J, Pratt N, Reyes C, Ross J, Seager S, Shah N, Simon K, Wan E, Yang J, Yin C, You S, Schuemie M, Ryan P, Hripcsak G, Krumholz H, Suchard M. Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM. BMJ Medicine 2023, 2: e000651. PMID: 37829182, PMCID: PMC10565313, DOI: 10.1136/bmjmed-2023-000651.Peer-Reviewed Original ResearchCardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record
Dhingra L, Shen M, Mangla A, Khera R. Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record. The American Journal Of Cardiology 2023, 203: 136-148. PMID: 37499593, PMCID: PMC10865722, DOI: 10.1016/j.amjcard.2023.06.104.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2026
Wearable Devices and Data Sharing in the US
Pedroso A, Dhingra L, Aminorroaya A, Khera R. Wearable Devices and Data Sharing in the US. JAMA Network Open 2026, 9: e2617733. PMID: 42268609, PMCID: PMC13254737, DOI: 10.1001/jamanetworkopen.2026.17733.Peer-Reviewed Original ResearchThe Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation
Croon P, Dhingra L, Pedroso A, Khera R. The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation. Current Heart Failure Reports 2026, 23: 25. PMID: 42165933, DOI: 10.1007/s11897-026-00764-x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsComparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus
Bu F, Wu R, Ostropolets A, Aminorroaya A, Chen H, Chai Y, Dhingra L, Falconer T, Hsu J, Kim C, Lau W, Man K, Minty E, Morales D, Nishimura A, Thangraraj P, Van Zandt M, Yin C, Khera R, Hripcsak G, Suchard M. Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus. Journal Of The American College Of Cardiology 2026, 87: 2963-2977. PMID: 41984016, PMCID: PMC13191718, DOI: 10.1016/j.jacc.2026.02.5123.Peer-Reviewed Original ResearchOpen science requires trust and rigour: a framework for responsible evaluation of shared AI-ECG tools
Dhingra L, Croon P, Oikonomou E, Khera R. Open science requires trust and rigour: a framework for responsible evaluation of shared AI-ECG tools. European Heart Journal - Digital Health 2026, 7: ztag057. PMID: 41994368, PMCID: PMC13080934, DOI: 10.1093/ehjdh/ztag057.Commentaries, Editorials and Letters
News
News
- April 28, 2026
Choosing Safer Diabetes Medications for Older Adults
- March 16, 2026
Yale School of Medicine Faculty To Present New Cardiovascular Research at National Cardiology Conference
- February 11, 2026
Using AI to Guide AI
- January 23, 2025
New AI Tool Identifies Risk of Future Heart Failure