David Ouyang, MD
Cardiologist and Research Scientist
The Permanente Medical Group

Title: Development and Deployment of Echocardiography AI

Abstract

I am a cardiologist and researcher in Division of Research at Kaiser Permanente Northern California. I am also an adjunct Assistant Professor at the Smidt Heart Institute at Cedars-Sinai. 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. I am also a Deputy Editor at NEJM AI and Chair of the ImageGuideRegistry for the American Society of Echocardiography. Our mission is to improve cardiovascular diagnosis and disease detection using computer vision and artificial intelligence. Our group works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. We focus on AI model development (see section 'Precision Phenotyping'), AI model understanding (see section 'Interpretable Medical AI'), and AI model deployment and implementation (see section 'AI Clinical Trials'). 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 work has been published in Nature, Nature Medicine, NEJM AI, Circulation, JAMA Cardiology, EHJ, and other scientific venues. Our group works on multi-modal datasets, leveraging EHR, ECG, echo, and MRI data for a broad perspective on cardiovascular disease. Our lab members bring expertise from a wide range of backgrounds ranging from physics, mechanical engineering, computer science to cardiology, anesthesia, and internal medicine.