Latest AI and machine learning research in arrhythmias for healthcare professionals.
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 ...
AI techniques have recently been put under the spotlight for analyzing electrocardiograms (ECGs). Ho...
With an aging population and increased chronic diseases, remote health monitoring has become critica...
This study proposes a multi-objective, non-dominated, imperialist competitive algorithm (NSICA) to s...
OBJECTIVE: Robot-assisted (RA) stereotactic MRI-guided laser ablation has been reported to be a safe...
Congenital long QT syndrome (LQTS) is characterized by a prolonged QT-interval on an electrocardiogr...
An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of...
Cardiac monitoring can be performed by means of an accelerometer attached to a subject's chest, whic...
This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis pred...
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality g...
This study aims to present a novel deep learning algorithm for a sliding shock advisory decision dur...