Latest AI and machine learning research in arrhythmias for healthcare professionals.
Myocardial scar (MS) and left ventricular ejection fraction (LVEF) are vital cardiovascular paramete...
Research of novel biosignal modalities with application to remote patient monitoring is a subject of...
Thoracic aorta calcium (TAC) can be assessed from cardiac computed tomography (CT) studies to improv...
BACKGROUND: In the field of mobile health, portable dynamic electrocardiogram (ECG) monitoring devic...
Background We aim to determine which electrocardiogram (ECG) data format is optimal for ML modelling...
Digital surgery technologies, such as interventional robotics and sensor systems, not only improve p...
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localiz...
Myocardial infarction (MI) is a prevalent cardiovascular disease that contributes to global mortalit...
PURPOSE: Electrocardiogram (ECG) data obtained from 12 leads are the most common and informative sou...
Prediction of major arrhythmic events (MAEs) in dilated cardiomyopathy represents an unmet clinical ...
We propose a novel approach for predicting stress severity by measuring sleep phasic heart rate vari...
Previous studies have successfully predicted overweight status by applying deep learning to 12-lead ...
BACKGROUND: Phospholamban (PLN) p.(Arg14del) variant carriers are at risk for development of maligna...
Over the past decade, the use of biometrics in security systems and other applications has grown in ...
A neural network was developed to detect and characterize bowel obstruction, a common cause of acute...
BACKGROUND: Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magneti...
The use of artificial intelligence (AI) in healthcare has made significant progress in the last 10Â y...
In the field of data security, biometric security is a significant emerging concern. The multimodal ...
According to the World Health Organization (WHO), Atrial Fibrillation (AF) is emerging as a global e...
The rapid evolution of neural networks and deep learning has revolutionized various fields, with cli...
Cardiovascular diseases, particularly arrhythmias, remain a leading cause of mortality worldwide. El...