Explore a comprehensive lecture on multimodal opportunistic risk assessment for ischemic heart disease presented by Juan Manuel Zambrano Chaves from Stanford University. Delve into the development of improved risk assessment models that integrate automatically extracted body composition features from abdominal CT images with electronic medical record data. Learn how these predictive methods compare to current clinical risk scores and gain insights into their clinical interpretability. Discover the potential of this multimodal approach in enhancing ischemic heart disease risk assessment and aiding primary prevention efforts. The talk also covers recent publications related to opportunistic imaging, body composition analysis, and cardiovascular disease. Gain valuable knowledge about the intersection of AI and medicine, and participate in an interactive discussion and Q&A session following the presentation.