Developing, Validating and Deploying an AI Model to Exceed Clinical Expertise
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Watch a 57-minute conference talk exploring the development, validation, and deployment of deep learning models in cardiac imaging that surpass traditional clinical expertise. Learn why deep learning approaches have transformative potential in cardiovascular medicine through real-world use cases developed at Columbia University that led to two of the world's first prospective clinical trials of deep learning in cardiology. Discover the practical challenges and limitations of implementing AI technologies in medical settings, examine current open questions in the field, and explore future directions for artificial intelligence applications in medicine. Gain insights from a practicing cardiologist and AI researcher who serves as Medical Director for Artificial Intelligence at NewYork-Presbyterian, covering both the technical development process and clinical deployment considerations for machine learning technologies in cardiovascular disease detection and management.
Syllabus
ML4H: Pierre Elias: Developing, Validating & Deploying an AI Model to Exceed My Clinical Expertise
Taught by
Broad Institute