Cardiovascular magnetic resonance (CMR) is an important cardiac imaging tool for
assessing the prognostic extent of myocardial injury after myocardial infarction (MI). Within …

Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial
tissue characterization and chamber volumetric and functional evaluation. However, manual …

Background Cardiovascular magnetic resonance (CMR) is an important imaging modality
for the assessment of heart disease; however, limitations of CMR include long exam times …

Artificial intelligence (AI) refers to the area of knowledge that develops computerised models
to perform tasks that typically require human intelligence. These algorithms are programmed …

Abstract Machine learning (ML) is making a dramatic impact on cardiovascular magnetic
resonance (CMR) in many ways. This review seeks to highlight the major areas in CMR …

Cardiovascular disease remains an integral field on which new research in both the
biomedical and technological fields is based, as it remains the leading cause of mortality …

In the era of modern medicine, artificial intelligence (AI) is a growing field of interest which is
experiencing a steady development. Several applications of AI have been applied to various …

Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …

Background and Objectives: Interest in artificial intelligence (AI) for outcome prediction has
grown substantially in recent years. However, the prognostic role of AI using advanced …

The presence of abnormalities when the left ventricle is deformed is related to the patients'
prognosis after a first myocardial infarction. These deformations can be detected by …