Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac
patients. The increasing demand for cardiac imaging begins to exceed the number of …

Cardiovascular disease is currently the most common cause of morbidity and mortality
worldwide (1) and thus remains an important focus for both biomedical and technological …

As the importance of artificial intelligence (AI) in the clinical setting increases, the need for
clinicians to understand AI is also increasing. This review focuses on the fundamental …

Machine learning, a branch of computer sciences and an application of artificial intelligence
(AI), is not new. As early as 1959, Samuel 1 published in the IBM Journal the results of an …

Nowhere is the influence of artificial intelligence (AI) likely to be more profoundly felt than in
health care, from patient triage and diagnosis to surgery and follow-up. Over the medium …

Despite advancements in cardiovascular diagnostics and therapeutics over the last few
decades, coronary heart disease is still the number one killer globally. We would all accept …

Cardiovascular disease (CVD) is associated with high mortality around the world.
Prevention and early diagnosis are key targets in reducing the socio-economic burden of …

The artificial intelligence (AI) revolution is well underway, including in the medical field, and
has dramatically transformed our lives. An understanding of the basics of AI applications …

Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated
with substantial economic burden on healthcare systems around the world. Coronary artery …

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 …