Purpose of the review Machine learning (ML) approaches have emerged as powerful tools
in medicine. This review focuses on the use ML to assess risk of events in patients with heart …

The 2019 annual meeting of the American Heart Association, which was held in Philadelphia,
was marked by considerable buzz around a presentation on the International Study of …

… Conversely, promising fields of application of PET/MR imaging include suspected coronary
artery disease, myocardial viability and heart failure, and inflammatory heart diseases such …

… Ischaemic heart diseases (IHDs) are the leading contributor to mortality worldwide and more
than 60% occur in low-to-middle-income countries (LMICs) and 40% of these are specified …

… Multiple centers have begun to develop software designed to bring virtual reality technology
to bear on congenital heart disease. These efforts have focused on surgical preparation, on …

… hope to use in determining risk factors for certain disease across various genetic backgrounds,
and implement in the creation of new medications [8]. Using these data, they are now …

… Cardiovascular diseases (CVD) are the leading cause of disease burden globally, being the
… Ischemic heart disease and stroke account for a large proportion of these CVD deaths, 9.14 …

Heart failure is one of the leading causes of morbidity and mortality globally. Myocardial
infarction remains one of the primary causes of chronic heart failure due to cardiac remodeling, …

Driven by a neoliberal sociopolitical climate, concepts of health in contemporary New Zealand
society emphasise a process of becoming healthy through healthist responsibilisation. An …

… Stem cell therapy either alone or in combination with the other established treatment strategies
is a hope for patients who suffer from the'incurable'diseases such as Alzheimer, diabetes, …