AINeutralarXiv – CS AI · 7h ago6/10
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Towards Deep Learning Surrogate for the Forward Problem in Electrocardiology: A Scalable Alternative to Physics-Based Models
Researchers propose a deep learning framework to replace traditional physics-based models for solving the forward problem in electrocardiology—predicting body surface ECG signals from cardiac electrical activity. The model achieves 99% accuracy while dramatically reducing computational time, offering potential for real-time clinical applications and digital twin development.