The eikonal equation has become an indispensable tool for modeling cardiac electrical
activation accurately and efficiently. In principle, by matching clinically recorded and eikonal …

State-of-the-art cardiac electrophysiology models that are able to deliver physiologically
motivated activation maps and electrocardiograms (ECGs) can only be solved on high …

The vision of digital twins for precision cardiology is to combine expert knowledge and data
of patients' cardiac pathophysiology with advanced computational methods, in order to …

Patient-specific cardiac computational models are essential for the efficient realization of
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …

Computing a physiologically accurate electrocardiogram (ECG) is one of the key outcomes
of cardiac electrophysiology (EP) simulations. Indeed, the simulated ECG serves as a …

Abstract Cardiac digital twins (Cardiac Digital Twin (CDT) s) of human electrophysiology
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …

The identification of the initial ventricular activation sequence is a critical step for the correct
personalization of patient‐specific cardiac models. In healthy conditions, the Purkinje …

The challenge of non-invasive Electrocardiographic Imaging (ECGI) is to re-create the
electrical activity of the heart using body surface potentials. Specifically, there are numerical …

CDT of human cardiac EP are digital replicas of patient hearts that match like-for-like clinical
observations. The ECG, as the most prevalent non-invasive observation of cardiac …

In recent years, blending mechanistic knowledge with machine learning has had a major
impact in digital healthcare. In this work, we introduce a computational pipeline to build …