The treatment of individual patients in cardiology practice increasingly relies on advanced
imaging, genetic screening and devices. As the amount of imaging and other diagnostic …

Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

This paper reviews the methods, benefits and challenges associated with the adoption and
translation of computational fluid dynamics (CFD) modelling within cardiovascular medicine …

Mathematical modeling of the human heart and its function can expand our understanding of
various cardiac diseases, which remain the most common cause of death in the developed …

Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …

Aims Cohorts of millions of people's health records, whole genome sequencing, imaging,
sensor, societal and publicly available data present a rapidly expanding digital trace of …

Purpose To determine if patient survival and mechanisms of right ventricular failure in
pulmonary hypertension could be predicted by using supervised machine learning of three …

With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …

Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …

Patient-specific computer models have been developed representing a variety of aspects of
the cardiovascular system spanning the disciplines of electrophysiology, electromechanics …