Explainable AI with Applications for Brain Imaging and Drug Discovery

Explore the world of Explainable AI (XAI) and its applications in brain imaging and drug discovery in this 36-minute webinar presented by Professor Jagath Rajapakse. Delve into the growing importance of XAI as users seek to understand and interpret AI-generated predictions. Learn about saliency backpropagation techniques in deep neural networks and how they help identify the most crucial features for model performance. Discover how these methods can be applied to biomarker discovery from functional MRI data and drug mechanism prediction. Gain valuable insights into the intersection of AI, neuroscience, and pharmaceutical research from an expert in the field.