Latest AI and machine learning research in arrhythmias for healthcare professionals.
PURPOSE: Wearable devices in the scenario of connected home healthcare integrated with artificial in...
Atrial fibrillation (AF) is the most common supraventricular cardiac arrhythmia, resulting in high m...
Atrial fibrillation (AF) is the most common arrhythmia and is associated with increased thromboembo...
We propose a new method for the classification task of distinguishing atrial fibrillation (AFib) fro...
AIMS: This sub-study deriving from a multicentre Italian register [Deformation Imaging by Strain in ...
In the pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal he...
BACKGROUND: Left atrial (LA) myopathy is common in patients with heart failure and preserved ejectio...
INTRODUCTION: Signal-averaged electrocardiography is a non-invasive, computerized technique that amp...
Deep Neural Networks (DNNs) are state-of-the-art machine learning algorithms, the application of whi...
Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount...
Mental illness issues are a very common health issue in youths and adults across the world. The usag...
Examining mental health is crucial for preventing mental illnesses such as depression. This study pr...
Human stress is intricately linked with mental processes such as decision making. Public protection ...
Horizon scanning for innovative technologies that might be applied to medical products and requires ...
OBJECTIVE: We propose a new capsule network to compensate for the information loss in the deep convo...
BACKGROUND: While ST-Elevation Myocardial Infarction (STEMI) door-to-balloon times are often below 9...
BACKGROUND: The PRAETORIAN trial (A Prospective, Randomized Comparison of Subcutaneous and Transveno...
Automatic electrocardiogram (ECG) classification is a promising technology for the early screening a...
BACKGROUND AND OBJECTIVES: Most deep-learning-related methodologies for electrocardiogram (ECG) clas...
Recent global developments underscore the prominent role big data have in modern medical science. Bu...
BACKGROUND: Artificial intelligence (AI)-enabled analysis of 12-lead ECGs may facilitate efficient e...