Dr. Ouyang is on Doximity
As a Doximity member you'll join over two million verified healthcare professionals in a private, secure network.
- Gain access to free telehealth tools, such as our “call shielding” and one-way patient texting.
- Connect with colleagues in the same hospital or clinic.
- Read the latest clinical news, personalized to your specialty.
Office
8700 Beverly Blvd
West Hollywood, CA 90048Phone+1 310-423-2726Fax+1 310-423-6795
Summary
- Dr. David Ouyang is a cardiologist in Los Angeles, CA and is affiliated with Cedars-Sinai Medical Center. He received his medical degree from University of California (San Francisco) School of Medicine and has been in practice 3 years. He also speaks multiple languages, including Chinese (Mandarin). He specializes in echocardiography, cardiac critical care, and clinical informatics and is experienced in cardiology and internal medicine.
Education & Training
- Stanford Health Care-Sponsored Stanford UniversityFellowship, Cardiovascular Disease, 2017 - 2020
- Stanford Health Care-Sponsored Stanford UniversityResidency, Internal Medicine, 2014 - 2017
- University of California San Francisco School of MedicineClass of 2014
Certifications & Licensure
- CA State Medical License 2015 - 2027
- American Board of Internal Medicine Internal Medicine
- American Board of Internal Medicine Cardiovascular Disease
Clinical Trials
- Artificial Intelligence Guided Echocardiographic Screening of Rare Diseases (EchoNet-Screening) Start of enrollment: 2021 Nov 18
Roles: Contact, Principal Investigator
- Safety and Efficacy Study of AI Wall Thickness Measurement (EchoNet-LVH-RCT) Start of enrollment: 2024 Nov 01
Roles: Principal Investigator, Contact
Publications & Presentations
PubMed
- 1 citationsProspective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms.I-Min Chiu, Tien-Yu Chen, You-Cheng Zheng, Xin-Hong Lin, Fu-Jen Cheng
NPJ Digital Medicine. 2024-10-15 - 1 citationsSerum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms.I-Min Chiu, Po-Jung Wu, Huan Zhang, J Weston Hughes, Albert J Rogers
JACC. Clinical Electrophysiology. 2024-09-24 - 4 citationsHigh-Throughput Deep Learning Detection of Mitral Regurgitation.Amey Vrudhula, Grant Duffy, Milos Vukadinovic, David Liang, Susan Cheng
Circulation. 2024-09-17
Press Mentions
- Q&A: AI Algorithms in Cardiology: From Research to Clinical PracticeNovember 15th, 2024
- Smidt Heart Institute Experts Will Give Key Presentations at AHA Scientific Sessions 2024November 12th, 2024
- Automated Pipeline Can ID Clinically Significant Mitral RegurgitationAugust 29th, 2024
- Join now to see all
Other Languages
- Chinese (Mandarin)
Viewing the full profile is available to verified healthcare professionals only.
Find your profile and take control of your online presence: