Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
Due to the phenomenon of "involution" in China, the current generation of college and university stu...
This study presents an innovative end-to-end deep learning arrhythmia diagnosis model that aims to a...
Low-dose computed tomography (LDCT) is an effective way to reduce radiation exposure for patients. H...
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25% are categori...
OBJECTIVE: Over the past few years, deep learning (DL) has been used extensively in research for 12-...
Existing driving fatigue detection methods rarely consider how to effectively fuse the advantages of...
BACKGROUND: Information on electrocardiogram (ECG) has not been quantified in obstructive coronary a...
BACKGROUND: Artificial intelligence (AI) models applied to 12-lead ECG waveforms can predict atrial ...
An electrocardiogram (ECG) plays a crucial role in identifying and classifying cardiac arrhythmia. T...
INTRODUCTION: The advancement of artificial intelligence (AI) has aided clinicians in the interpreta...
In medicine, confounding variables in a generalized linear model are often adjusted; however, these ...