Latest AI and machine learning research in arrhythmias for healthcare professionals.
The 12‑lead electrocardiogram (ECG) is a common and inexpensive diagnostic modality available at sca...
Mental health, especially stress, plays a crucial role in the quality of life. During different phas...
Catheter ablation (CA) is the first-line treatment for atrial fibrillation (AF) patients. However, t...
BACKGROUND AND AIMS: To evaluate the risk of coronary artery disease (CAD), the traditional approach...
Training deep neural network classifiers for electrocardiograms (ECGs) requires sufficient data. How...
Deep learning (DL) is known for its excellence in feature learning and its ability to deliver high-a...
CT metal artefact reduction (MAR) methods based on supervised deep learning are often troubled by do...
Catheter ablation (CA) is considered as one of the most effective methods technique for eradicating ...
Arrhythmias using electrocardiogram (ECG) signal is important in medical and computer research due t...
With the increased availability of magnetic resonance imaging (MRI) and a progressive rise in the fr...
Emergency department (ED) triage scale determines the priority of patient care and foretells the pro...
Little is known about electrocardiogram (ECG) markers of Parkinson's disease (PD) during the prodrom...
Due to the tremendous growth of the Internet of Things (IoT), sensing technologies, and wearables, t...
PURPOSE: To compare the oncological and perioperative outcomes of robot-assisted partial nephrectomy...
BACKGROUND: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they ma...
Arrhythmia detection from ECG is an important area of computational ECG analysis. However, although ...
Versatile and energy-efficient neural signal processors are in high demand in brain-machine interfac...
OBJECTIVE: To evaluate transperineal laser ablation (TPLA) with Echolaser® (Echolaser® TPLA, Elesta ...
Timely detection of anomalies and automatic interpretation of an electrocardiogram (ECG) play a cruc...
. Although deep learning-based current methods have achieved impressive results in electrocardiograp...
Obstructive sleep apnea (OSA) has a heavy health-related burden on patients and the healthcare syste...