Introduction: Virtual heart technologies (VHTs) promise to offer an detailed view on cardiac
electrophysiology (EP). However, only very few VHTs simulating EP of four-chamber hearts …

Background and Objective: Data from electro-anatomical mapping (EAM) systems are
playing an increasingly important role in computational modeling studies for the patient …

Personalized models of cardiac electrophysiology (EP) that match clinical observation with
high fidelity, referred to as cardiac digital twins (CDTs), show promise as a tool for tailoring …

Background Personalized computational models (" digital twins") of cardiac
electrophysiology (EP) based on clinical imaging have shown potential utility in arrhythmia …

Computer models of cardiac electrophysiology (EP) can help to better understand the
mechanisms of arrhythmias and to guide interventions. However, model adjustment to …

A cardiac digital twin is a virtual representation of an individual patient's heart. The
geometric representation of the personalized computational model can be obtained from …

Personalized, image‐based computational heart modelling is a powerful technology that
can be used to improve patient‐specific arrhythmia risk stratification and ventricular …

Computer models capable of representing the intrinsic personal electrophysiology (EP) of
the heart in silico are termed virtual heart technologies. When anatomy and EP are tailored …

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 …

Computational models of the heart are increasingly being used in the development of
devices, patient diagnosis and therapy guidance. While software techniques have been …