David Ouyang
Staff Physician and Assistant ProfessorSmidt Heart Institute and Division of Artificial Intelligence in Medicine
Cedars-Sinai Medical Center
127 S San Vicente Blvd, Los Angeles, CA
david.ouyang@cshs.org
[CV]
I am a cardiologist and researcher in the Department of Cardiology and Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center. Our group works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. We focus on development (see section 'Precision Phenotyping'), understanding (see section 'Interpretable Medical AI'), and deployment of AI (see section 'AI Clinical Trials'). Our work has been published in Nature, Nature Medicine, NEJM AI, Circulation, JAMA Cardiology, EHJ, and other scientific venues.
As a physician-scientist and statistician with focus on cardiology and imaging, I majored in statistics at Rice University, obtained my MD at UCSF, and received post-graduate medical education in internal medicine, cardiology, and a postdoc in computer science and biomedical data science at Stanford University. As an echocardiographer, I apply deep learning for precision phenotyping in cardiac ultrasound and the deployment and clinicial trials of AI models. We are interested in all forms of cardiovascular data, including ECG, MRI, radiological imaging, and particicularly interested in novel insights from pre-existing data.
Our group works on multi-modal datasets, linking EHR, ECG, echo, and MRI data for a broad perspective on cardiovascular disease and have diverse backgrounds (ranging from physics, mechanical engineering, computer science to cardiology, anesthesia, and internal medicine). We are recruiting postdoctoral fellows and research scientists with background in computer vision and NLP (extensive prior experience with Pytorch, TorchVision, Huggingfaces libraries). If you're interested in improving cardiovascular imaging and cardiovascular care, please email me!
The best part of the job are the poeple I get work with. I have the good fortune of working with a great group of motivated, talented, and creative individuals from a wide range of backgrounds.
Members of the lab include:
Alumni of the lab include:
Precision Phenotyping
- Ouyang D, He B, Ghorbani A, Langlotz CP, Heidenreich PA, Harrington RA, Liang DH, Ashley EA, Zou JY. “Video-based artificial intelligence for beat-to-beat assessment of cardiac function ” Nature. March 25, 2020.
- Duffy G*, Cheng PP*, Yuan*,He B, Kwan AC, Shun-Shin MJ, Alexander KM, Ebinger J, Lungren MP, Rader F, Liang DH, Schnittger I, Ashley EA, Zou JY, Patel J, Witteles R, Cheng S, Ouyang D. “High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning.” JAMA Cardiology February 23, 2022.
- Christensen M, Vukadinovic M, Yuan N, Ouyang D. “Vision–language foundation model for echocardiogram interpretation”. Nature Medicine April 30, 2024.
- Sahashi Y, Vukadinovic M, Amrollahi F, Trivedi H, Rhee J, Chen JH, Cheng S, Ouyang D, Kwan AC. “Opportunistic Screening of Chronic Liver Disease with Deep Learning Enhanced Echocardiography”. Preprint April 30, 2024.
AI Clinical Trials
- He B, Kwan AC, Cho JH, Yuan N, Pollick C, Shiota T, Ebinger J. Bello NA, Wei J, Josan K, Duffy G, Jujjavarapu M, Siegel R, Cheng S, Zou JY, Ouyang D. “EchoNet-RCT: Blinded, Randomized Controlled Trial of Sonographer vs. Artificial Intelligence Assessment of Cardiac Function.” Nature April 5, 2023
- Wu E, Wu K, Daneshjou R, Ouyang D, Ho D, Zou JY. “How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals.” Nature Medicine April 5, 2021.
- Ongoing , “Artificial Intelligence Guided Echocardiographic Screening of Rare Diseases (EchoNet-Screening).”
Foundation Models in Cardiovascular Medicine
- Vukadinovic M, Tang X, Yuan N, Cheng P, Li D, Cheng S, He B, Ouyang D. “EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation.” Preprint October 13, 2024
- Christensen K, Vukadinovic M, Yuan N, Ouyang D. “Vision-language foundation model for echocardiogram interpretation” Nature Medicine April 30, 2024.
- He B, Vukadinovic M, Duffy G, Zou JY, Ouyang D. “Multi-Modal Contrastive Learning across Cardiac Diagnostics.” Preprint Jan 7, 2024.
Interpreting Medical AI
- Gorbhani A, Ouyang D, Abid A, He B, Chen JH, Harrington RA, Liang DH, Ashley EA, Zou JY. “Deep Learning Interpretation of Echocardiograms.” npj Digital Medicine. January 24, 2020.
- Duffy G, Clarke SL, Christensen M, He B, Yuan N, Cheng S, Ouyang D “Confounders mediate AI prediction of demographics in medical imaging” npj Digital Medicine. ” December 22, 2022.
- Weston HJ, Yuan N, He B, Ouyang J, Ebinger J, Botting P, Lee J, Theurer J, Tooley JE, Neiman K, Lungren MP, Liang D, Schnittger I, Harrington B, Chen JH, Ashley EA, Cheng S, Ouyang D, Zou JY. “Deep learning evaluation of biomarkers from echocardiogram videos.” EbioMedicine October 13, 2021.
- Vrudhula A, Hughes JW, Yuan N, Ouyang D. “The Impact of Task Set-up in Algorithm Design: Regression versus Classification.” New England Journal of Medicine AI ” March 13, 2024.
AI Echocardiography
- Ouyang D, He B, Ghorbani A, Langlotz CP, Heidenreich PA, Harrington RA, Liang DH, Ashley EA, Zou JY “Video-based artificial intelligence for beat-to-beat assessment of cardiac function ” Nature. March 25, 2020.
- Vrudhula A, Duffy D, Vukadinovic M, Liang D, Cheng S, Ouyang D. “High Throughput Deep Learning Detection of Mitral Regurgitation.” Circulation August 12, 2024
- Vrudhula A, Vukadinovic M, Haeffle C, Kwan AC, Berman D, Liang D, Siegel R, Cheng S, Ouyang D. “Deep Learning Phenotyping of Tricuspid Regurgitation for Automated High Throughput Assessment of Transthoracic Echocardiography.” Medrxiv June 24, 2024
- Holste G, Oikonomou E, ... , Khera R. “Severe aortic stenosis detection by deep learning applied to echocardiography.” European Heart Journal November 11, 2023
- Kwan AC, Chang EW, Jain I, Theurer J, Tang X, Francisco, ..., Ouyang D. “Deep Learning-derived Myocardial Strain.” JACC: Cardiovascular Imaging June 24, 2024
- He B, Dash D, Duanmu YY, Tan TX, Ouyang D, Zou JY. “AI-enabled assessment of cardiac function and video quality in emergency department point-of-care echocardiograms.” The Journal of Emergency Medicine February 2, 2024
- Reddy CD, Lopez L, Ouyang D, Zou JY, He B. “Video-based deep learning for automated assessment of left ventricular ejection fraction in pediatric patients.” Journal of the American Society of Echocardiography May 1st, 2023
Healthcare Data Science
- Ouyang D, Gulati G, Ha R, Banerjee D. “Incidence of Temporary Mechanical Circulatory Support Prior to Heart Transplantation and Impact on Post-Transplant Outcomes.” Journal of Heart and Lung Transplantation Apr 26, 2018.
- Ouyang D, Tisdale R, Cheng P, Chi J, Ashley EA, Chen JH. “Acetaminophen or Tylenol? A Retrospective Analysis of Medication Digital Communication Practices.” Journal of General Internal Medicine May 1, 2018.
- Ouyang D, Chen J, Krishnan G, Hom J, Witteles R, Chi J. “Patient Outcomes When Housestaff Exceed Eighty Hours per Week.” American Journal of Medicine. April 18, 2016.
- Ouyang D, Chen J, Hom J, Chi J. “How Much Time Do Internal Medicine Residents Spend on the Computer?: An Electronic Audit of an Inpatient Service.” JAMA Internal Medicine., August 7, 2015.
- Ouyang D, I El-Sayed, SS Yom. National Trends in Surgery for Sinonasal Malignancy and the Effect of Hospital Volume on Short-Term Outcome. Laryngoscope. July 4, 2014.
Gender Disparities in Medicine
- Vranas KC, Ouyang D, Lin AL, Slatore CG, Sullivan DR, Prasad Kerlin M, Liu KD, Baron RM, Calfee CS, Ware LB, Halpern S, Matthay MA, Herridge M, Mehta S, Rogers AJ. “Gender Differences in Authorship of Critical Care Literature.” Am J Respir Crit Care Med. January 22, 2020.
- Ouyang D, Harrington RA, Rodriguez F. “The Association between Female Corresponding Authors and Female Co-Authors in Top Contemporary Cardiovascular Medicine Journals.” Circulation February 19, 2019.
- Ouyang D, Sing DC, Shah S, Duvernoy C, Harrington RA, Rodriguez F. “Gender Disparities in Authorship Order of Cardiology Scientific Publications – Trends over 40 Years.” Circulation Cardiovascular Quality and Outcome Dec 11, 2018.
- Sing DC, Jain D, Ouyang D. "Gender trends in authorship of spine-related academic literature - a 39-year perspective." Spine J. June 30, 2017
A complete list of publications is available at Google Scholar