Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI
models and is important in building trust in model predictions. XAI explanations themselves …

Cardiac digital twins (CDTs) are personalized virtual representations used to understand
complex cardiac mechanisms. A critical component of CDT development is solving the ECG …

Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of
cardiac anatomy and function. However, it typically only acquires a set of two-dimensional …

Background Risk stratification for ventricular arrhythmias currently relies on static
measurements that fail to adequately capture dynamic interactions between arrhythmic …

Cardiac anatomy and function vary considerably across the human population with
important implications for clinical diagnosis and treatment planning. Consequently, many …

The efficacy of an implantable cardioverter-defibrillator (ICD) in patients with a non-
ischaemic cardiomyopathy for primary prevention of sudden cardiac death is increasingly …

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia associated with
significant morbidity and mortality. Managing risk of stroke and AF burden are pillars of AF …

Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac
function in a non-invasive manner, making them a promising approach for personalized …

Heart failure (HF) poses a significant public health challenge, with a rising global mortality
rate. Early detection and prevention of HF could significantly reduce its impact. We introduce …

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 …