From Algorithms to Clinic - Explainable AI for Trustworthy Diagnosis

Explore cutting-edge research on explainable artificial intelligence applications in medical imaging through this 50-minute invited presentation by Amar Kumar from McGill University and Mila - Quebec AI Institute. Discover how advanced AI tools are being developed and applied to create trustworthy diagnostic systems in clinical settings. Learn about state-of-the-art techniques including counterfactual image generation, foundation models, vision-language models, diffusion models, reinforcement learning, and super-resolution imaging at mega-pixel scales. Examine the critical intersection between algorithmic innovation and clinical implementation, focusing on how explainable AI methods can enhance transparency and trust in medical diagnosis. Gain insights into the latest developments in AI-powered medical imaging technologies and understand how these sophisticated approaches are bridging the gap between theoretical research and practical healthcare applications.