Yuan, Neal
San Francisco VA Medical Center · University of California, San Francisco
7 papers on CoChatORCID 0000-0001-5782-7437
Most cited papers
- Verified
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
- Verified
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
- Verified
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
- 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
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
- Verified
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
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