More than 90% of patients with congenital heart disease (CHD) are nowadays surviving to
adulthood and adults account for over two-thirds of the contemporary CHD population in …

Artificial Intelligence (AI) has greatly affected our everyday lives and holds great promise to
change the landscape of medicine. AI is particularly positioned to improve care for the …

Interventions in adults with congenital heart disease (ACHD) focus on surgical and
percutaneous interventions in light of rapidly evolving ACHD clinical practice. To bring rigour …

Transcatheter aortic valve replacement (TAVR) has emerged as a viable alternative to
surgical aortic valve replacement, as accumulating clinical evidence has demonstrated its …

Aortic valve defects are among the most prevalent clinical conditions. A severely damaged
or non-functioning aortic valve is commonly replaced with a bioprosthetic heart valve (BHV) …

Purpose Late major bleeding is one of the main complications after transcatheter aortic
valve replacement (TAVR). We aimed to develop a risk prediction model based on deep …

Aims Prediction of adverse events in mid-term follow-up after transcatheter aortic valve
implantation (TAVI) is challenging. We sought to develop and validate a machine learning …

Background: Intense training exercise regimes cause physiological changes within the heart
to help cope with the increased stress, known as the “athlete's heart”. These changes can …

Artificial intelligence (AI) is an overarching term that encompasses a set of computational
approaches that are trained through generalised learning to autonomously execute specific …

Aims Identification of high-risk patients and individualized decision support based on
objective criteria for rapid discharge after transcatheter aortic valve implantation (TAVI) are …