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Learn how artificial intelligence technology can support treatment decision-making for patients with coronary artery disease through personalized patient outcome predictions in this research presentation. Explore the development process and health economic evaluation of AI systems designed to assist healthcare providers in making informed treatment decisions for cardiac patients. Discover the intersection of machine learning, cardiovascular medicine, and health economics as presented by Dr. Joonwu Lee, a Professor in the Department of Cardiac Sciences at the University of Calgary and Chief Technology Officer at Symbiotic AI. Gain insights into how predictive AI models can be integrated into clinical workflows to improve patient outcomes and optimize healthcare resource allocation in coronary artery disease management.
