Latest AI and machine learning research in arrhythmias for healthcare professionals.
Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and co...
This study presents a novel hybrid deep learning model for arrhythmia classification from electrocar...
Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient m...
Major depressive disorder (MDD) is associated with reduced heart rate variability (HRV), but its lin...
Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during...
BACKGROUND: WenXinWuYang, a novel portable Artificial Intelligence Electrocardiogram (AI-ECG) device...
BACKGROUND: In-hospital cardiac arrest (IHCA) is a severe and sudden medical emergency that is chara...
Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the...
This study introduces an innovative master-slave cardiac ablation catheter robot system that employs...
Our research introduces a framework that integrates edge computing, quantum transfer learning, and f...
With the dramatic increase in the number of published papers and the continuous progress of deep lea...
INTRODUCTION: Current methods to detect hypoglycemia in type 1 diabetes (T1D) require invasive senso...
Arrhythmia is an irregularity in the rhythm of the heartbeat, and it is the primary method for detec...
The classification and treatment of myocardial infarction (MI) have evolved significantly over the p...
Early Diagnosis of Cardiovascular disease (CVD) is essential to prevent a person from death in case ...
BACKGROUND & AIMS: Accurate prediction of disease severity and prognosis are challenging in patients...
Interstitial cells of Cajal (ICCs), pacemaker and neuromodulator cells in the gastrointestinal (GI) ...
BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac ...
BACKGROUND: Amiodarone treatment requires repeated laboratory evaluations of thyroid and liver funct...
The limited availability of labeled ECG data restricts the application of supervised deep learning m...
Cardiovascular disease (CAD) is a major global public health issue, with mortality rates being signi...