MedAI #61: Development to Deployment of Cardiovascular AI | David Ouyang

Title: Development to Deployment of Cardiovascular AI
Speaker: David Ouyang
Abstract:
Computer vision has advanced tremendously over the last decade, with performance of deep learning algorithms surpassing previous paradigms of image identification and segmentation. Cardiovascular care relies on precise detection, interpretation, and measurement of cardiovascular imaging, and could benefit from automation. In this talk, I will describe opportunities to explore cardiovascular medicine and its current challenges through the application of AI models and eventual assessment in clinical trials and deployment in clinical care.
Speaker Bio:
David is a cardiologist and researcher in the Department of Cardiology and Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center. As a physician-scientist and statistician with focus on cardiology and cardiovascular imaging, he works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. As a clinical echocardiographer, he works on applying deep learning for precision phenotyping in cardiac ultrasound. Additionally, he is interested in multi-modal datasets, linking ECR, echo, and MRI data for a holistic look at cardiovascular disease. He majored in statistics at Rice University, obtained his 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.
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[@mohdil123]

Pretty good presentation