Deep Learning Surrogate for Electrocardiology: A Scalable Alternative

This research explores using deep learning to create a surrogate model for the complex forward problem in electrocardiology. This approach potentially offers significant advantages in terms of computational speed and scalability compared to traditional physics-based models.