Khera, Rohan

Association of Pharmacological Treatments for Obesity With Weight Loss and Adverse Events: A Systematic Review and Meta-analysis

Khera, R., Murad, M. H., Chandar, A. K., Dulai, P. S., Wang, Z., Prokop, L. J., Loomba, R., Camilleri, M., & Singh, S. (2016) · JAMA

Pharmacology and Obesity TreatmentBariatric Surgery and Outcomes

Cited by 865

Automation Bias and Assistive AI: Risk of Harm From AI-Driven Clinical Decision Support

Khera, R., Simon, M. A., & Ross, J. S. (2023) · JAMA

Artificial Intelligence in Healthcare and EducationHuman-Automation Interaction and Safety

Cited by 222

AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence

Angus, D. C., Khera, R., Lieu, T., Liu, V., Ahmad, F. S., Anderson, B., Bhavani, S. V., Bindman, A., Brennan, T., Celi, L. A., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 195

Machine learning in precision diabetes care and cardiovascular risk prediction

Oikonomou, E. K., & Khera, R. (2023) · Cardiovascular Diabetology

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 190

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

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

Prevalence of Missing Data in the National Cancer Database and Association with Overall Survival

Yang, D. X., Khera, R., Miccio, J. A., Jairam, V., Chang, E., Yu, J. B., Park, H. S., Krumholz, H. M., & Aneja, S. (2021) · JAMA Network Open

Global Cancer Incidence and ScreeningMedical Coding and Health Information

Cited by 135

Burden and consequences of financial hardship from medical bills among nonelderly adults with diabetes mellitus in the United States.

Caraballo, C., Valero-Elizondo, J., Khera, R., Mahajan, S., Grandhi, G. R., Virani, S. S., Mszar, R., Krumholz, H. M., & Nasir, K. (2020) · Circulation: Cardiovascular Quality and Outcomes

Economic and Financial Impacts of CancerHealthcare Policy and Management

Cited by 104

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

Effects of weight-loss medications on cardiometabolic risk profiles: a systematic review and network meta-analysis

Khera, R., Pandey, A., Chandar, A. K., Murad, M. H., Prokop, L. J., Neeland, I. J., Berry, J. D., Camilleri, M., & Singh, S. (2018) · Gastroenterology

Pharmacology and Obesity TreatmentBariatric Surgery and Outcomes

Cited by 90

AI in Medicine—JAMA’s Focus on Clinical Outcomes, Patient-Centered Care, Quality, and Equity

Khera, R., Butte, A. J., Berkwits, M., Hswen, Y., Flanagin, A., Park, H., Curfman, G., & Bibbins-Domingo, K. (2023) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 78

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Jain, S. S., Elias, P., Poterucha, T., Randazzo, M., Lopez Jimenez, F., Khera, R., Perez, M., Ouyang, D., Pirruccello, J., Salerno, M., et al. (2024) · Journal of the American College of Cardiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 74

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

Gender differences in the utilisation of surgery for congenital heart disease in India

Ramakrishnan, S., Khera, R., Jain, S., Saxena, A., Kailash, S., Karthikeyan, G., Kothari, S. S., Juneja, R., Bhargava, B., Kalaivani, M., et al. (2011) · Heart

Congenital Heart Disease StudiesGlobal Health and Surgery

Cited by 62

Contemporary National Patterns of Eligibility and Use of Novel Cardioprotective Antihyperglycemic Agents in Type 2 Diabetes Mellitus

Nargesi, A. A., Jeyashanmugaraja, G. P., Desai, N., Lipska, K., Krumholz, H., & Khera, R. (2021) · Journal of the American Heart Association

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 61

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

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

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

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

Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies

Khera, R., Schuemie, M. J., Lu, Y., Ostropolets, A., Chen, R., Hripcsak, G., Ryan, P. B., Krumholz, H. M., & Suchard, M. A. (2022) · BMJ Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 37

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