Heart disease is the leading cause of death in the United States (1), and coronary artery
disease is the most common type of heart disease (2). The annual estimated cost of heart …

Objective To evaluate the prognosis of unrecognised myocardial infarction determined by
electrocardiography (UMI-ECG) or cardiac magnetic resonance imaging (UMI-CMR). Design …

Diabetes is a chronic metabolic disease, characterized by elevated levels of blood glucose,
which leads–over time–to serious damage to the heart, blood vessels, eyes, kidneys and …

Background Stable coronary artery disease (CAD) patients with myocardial damage have a
poor prognosis compared to those without myocardial damage. Recently, malnutrition has …

Background: Determining the infarct-related artery (IRA) in non–ST-segment–elevation
myocardial infarction (MI) can be challenging. Delayed-enhancement cardiac magnetic …

Acute myocardial infarction (AMI) is one of the primary causes of death worldwide, with a
high incidence and mortality rate. Assessment of the infarcted and surviving myocardium …

In asymptomatic patients with type 2 diabetes (T2D), the prevalence of silent myocardial
infarction on routine electrocardiograms is about 4% while for silent myocardial ischemia it is …

Background Information on electrocardiogram (ECG) has not been quantified in obstructive
coronary artery disease (ObCAD), despite the deep learning (DL) algorithm being proposed …

Aims In cancer patients with cardiomyopathy related to anthracyclines and/or trastuzumab,
data regarding late gadolinium enhancement (LGE) on cardiovascular magnetic resonance …

OBJECTIVE. The recent advancement of deep learning techniques has profoundly impacted
research on quantitative cardiac MRI analysis. The purpose of this article is to introduce the …