Predicting Heart Rhythm Disorders from Spatio-Temporal Imaging Data Using AI

Explore cutting-edge research on predicting heart rhythm disorders using artificial intelligence in this 1-hour 20-minute talk by Dr. Jan Christoph from UC San Francisco. Delve into the complex world of cardiac electrophysiology, learning how abnormal wave activity in the heart leads to conditions like atrial and ventricular fibrillation. Discover the challenges in current imaging technologies and how AI, combined with high-speed fluorescence and ultrasound imaging, is revolutionizing our understanding of three-dimensional electrophysiological dynamics within heart walls. Gain insights into innovative techniques for computing and predicting electrical dynamics from mechanical deformation, and understand the process of training AI models using isolated hearts. This presentation, part of the DDPS series at Lawrence Livermore National Laboratory, offers a fascinating look at the intersection of biophysics, cardiology, and artificial intelligence in advancing cardiac diagnostics and potential therapies.

DDPS | ‘Predicting Heart Rhythm Disorders from Spatio-Temporal Imaging Data using AI'