Autopsy in the era of advanced cardiovascular imaging
Abstract. Historically, autopsy contributed to our current knowledge of cardiovascular anatomy, physiology, and pathology. Major advances in the understanding o
Abstract. Historically, autopsy contributed to our current knowledge of cardiovascular anatomy, physiology, and pathology. Major advances in the understanding o
AbstractAims. Deep learning methods have recently gained success in detecting left ventricular systolic dysfunction (LVSD) from electrocardiogram waveforms
AbstractAims. Deep learning methods have recently gained success in detecting left ventricular systolic dysfunction (LVSD) from electrocardiogram waveforms
AbstractAims. Deep learning methods have recently gained success in detecting left ventricular systolic dysfunction (LVSD) from electrocardiogram waveforms
AbstractAims. Mechanical complications (MCs) are rare but potentially fatal sequelae of acute myocardial infarction (AMI). Surgery, though challenging, is
AbstractAims. Mobile devices such as smartphones and watches can now record single-lead electrocardiograms (ECGs), making wearables a potential screening t
This Spot the Diagnosis article refers to ‘Answer: Surviving the storm: ventricular fibrillation in the left ventricle assist device era’, by G. Campos et
Hiroki Yamanobe, MD, Kensaku Nishihira, MD, PhD, Mitsuhiro Yano, MD, PhD, Yoshisato Shibata, MD, Yujiro Asada, MD, PhD; Fatal intramyocardial dissecting he
AbstractAims. To assess use and associations with outcomes of glucagon-like peptide-1 receptor agonists (GLP-1 RA) in a real-world population with heart fa
AbstractAim. Recently, deep-learning artificial intelligence (AI) models have been trained to detect cardiovascular conditions, including hypertrophic card
AbstractAims. Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the USA with morbidity and mortal