Abstract 14675: Developing Convolutional Neural Networks for Deep Learning of Ventricular Action Potentials to Predict Risk for Ventricular Arrhythmias

Background: It is unclear if machine learning can be trained to recognize electrophysiological signal features which represent pathological remodeling in patients with coronary disease (CAD) and le...