Dr. David Ouyang is a physician-scientist working at the intersection of cardiovascular medicine and artificial intelligence (AI). With dual training in computer science (postdoctoral fellowship at Stanford University) and clinical cardiology (UCSF Medical School, Stanford residency and fellowship), he is uniquely positioned to develop and translate cardiovascular AI into clinical practice.

A programmer at heart, Dr. Ouyang created the first video-based AI model for echocardiography (Nature 2020), which led to a pivotal prospective clinical trial (Nature 2023) and subsequent FDA clearance. His laboratory, supported by the NIH (two R01s and one R00), the American Heart Association, industry, and non-profit foundations, integrates expertise spanning computer science, engineering, and medicine. This multidisciplinary approach enables the group to develop AI models, identify performance gaps, and design outcome-driven interventions to improve care quality and efficiency.

His team has advanced AI in medical imaging and conducted the first blinded randomized controlled trial of AI in cardiology, presented as late-breaking science at international meetings (ESC, AHA, HRS, ASE) and published in leading journals including Nature, Nature Medicine, NEJM AI, Circulation, JACC, and JAMA Cardiology. Their work has been translated into real-world clinical imaging systems, earning FDA 510(k) clearance and breakthrough designation for novel algorithms.

Recently recruited to Kaiser Permanente Northern California, Dr. Ouyang now leads large-scale AI deployments across one of the nation’s largest integrated health systems, bringing cutting-edge research into everyday clinical care. He is also the lead editor for cardiovascular AI as Deputy Editor at New England Journal of Medicine Artificial Intelligence.