Ouyang, David

Video-based AI for beat-to-beat assessment of cardiac function

Ouyang, D., He, B., Ghorbani, A., Yuan, N., Ebinger, J., Langlotz, C. P., Heidenreich, P. A., Harrington, R. A., Liang, D. H., Ashley, E. A., et al. (2020) · Nature

Cardiovascular Function and Risk FactorsArtificial Intelligence in Healthcare and Education

Cited by 1,153

Deep learning interpretation of echocardiograms

Ghorbani, A., Ouyang, D., Abid, A., He, B., Chen, J. H., Harrington, R. A., Liang, D. H., Ashley, E. A., & Zou, J. Y. (2020) · npj Digital Medicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 518

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

Wu, E., Wu, K., Daneshjou, R., Ouyang, D., Ho, D. E., & Zou, J. (2021) · Nature Medicine

Artificial Intelligence in Healthcare and EducationHealthcare Regulation

Cited by 494

Blinded, randomized trial of sonographer versus AI cardiac function assessment

He, B., Kwan, A. C., Cho, J. H., Yuan, N., Pollick, C., Shiota, T., Ebinger, J., Bello, N. A., Wei, J., Josan, K., et al. (2023) · Nature

Artificial Intelligence in Healthcare and EducationCardiovascular Function and Risk Factors

Cited by 256

Vision–language foundation model for echocardiogram interpretation

Christensen, M., Vukadinovic, M., Yuan, N., & Ouyang, D. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 231

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

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

Detecting structural heart disease from electrocardiograms using AI

Poterucha, T. J., Jing, L., Ricart, R. P., Adjei-Mosi, M., Finer, J., Hartzel, D., Kelsey, C., Long, A., Rocha, D., Ruhl, J. A., et al. (2025) · Nature

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 116

Multimodal deep learning enhances diagnostic precision in left ventricular hypertrophy

Soto, J. T., Weston Hughes, J., Sanchez, P. A., Perez, M., Ouyang, D., & Ashley, E. A. (2022) · European Heart Journal - Digital Health

Cardiomyopathy and Myosin StudiesArtificial Intelligence in Healthcare

Cited by 76

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

Deep learning evaluation of biomarkers from echocardiogram videos

Hughes, J. W., Yuan, N., He, B., Ouyang, J., Ebinger, J., Botting, P., Lee, J., Theurer, J., Tooley, J. E., Nieman, K., et al. (2021) · EBioMedicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 71

Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study

Ouyang, D., Theurer, J., Stein, N. R., Hughes, J. W., Elias, P., He, B., Yuan, N., Duffy, G., Sandhu, R. K., Ebinger, J., et al. (2024) · The Lancet Digital Health

ECG Monitoring and AnalysisCardiac, Anesthesia and Surgical Outcomes

Cited by 64

Characterizing electronic health record usage patterns of inpatient medicine residents using event log data

Wang, J. K., Ouyang, D., Hom, J., Chi, J., & Chen, J. H. (2019) · PLOS ONE

Electronic Health Records SystemsHospital Admissions and Outcomes

Cited by 63

Internal Medicine Resident Computer Usage: An Electronic Audit of an Inpatient Service

Ouyang, D., Chen, J. H., Hom, J., & Chi, J. (2016) · JAMA Internal Medicine

Patient Safety and Medication ErrorsInnovations in Medical Education

Cited by 47

Deep learning to detect left ventricular structural abnormalities in chest X-rays

Bhave, S., Rodriguez, V., Poterucha, T., Mutasa, S., Aberle, D., Capaccione, K. M., Chen, Y., Dsouza, B., Dumeer, S., Goldstein, J., et al. (2024) · European Heart Journal

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 38

Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms

Chiu, I.-M., Wu, P.-J., Zhang, H., Hughes, J. W., Rogers, A. J., Jalilian, L., Perez, M., Lin, C.-H. R., Lee, C.-T., Zou, J., et al. (2024) · JACC: Clinical Electrophysiology

ECG Monitoring and AnalysisPotassium and Related Disorders

Cited by 31

Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review

Grogan, M., Lopez‐Jimenez, F., Guthrie, S., Kumar, N., Langevin, R., Lousada, I., Witteles, R., Royyuru, A., Rosenzweig, M., Cairns‐Smith, S., et al. (2025) · Journal of the American Heart Association

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

Cited by 26

We need more randomized clinical trials of AI.

Ouyang, D., & Hogan, J. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationStatistical Methods in Clinical Trials

Cited by 24

Foundation models for electrocardiogram interpretation: clinical implications

Nolin-Lapalme, A., Sowa, A., Delfrate, J., Tastet, O., Corbin, D., Kulbay, M., Ozdemir, D., Noël, M.-J., Marois-Blanchet, F.-C., Harvey, F., et al. (2026) · European Heart Journal

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 20

Accelerating Science with Human+AI Review

Manrai, A. K., Ouyang, D., Hogan, J. W., & Kohane, I. S. (2025) · NEJM AI

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 17

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction

Marcinkiewicz, A. M., Zhang, W., Shanbhag, A., Miller, R. J. H., Lemley, M., Ramirez, G., Buchwald, M., Killekar, A., Kavanagh, P. B., Feher, A., et al. (2025) · npj Digital Medicine

Cardiac Imaging and DiagnosticsRadiomics and Machine Learning in Medical Imaging

Cited by 12