Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: Self-reported, computerized history taking (CHT) may enable efficient collection of medi...
Stress detection is a widely studied field due to its significant implications for mental and physic...
STUDY OBJECTIVES: Atrial fibrillation (AF) and obstructive sleep apnea (OSA) are interrelated condit...
OBJECTIVE: Detecting Alzheimer's disease (AD) at an early stage is essential for administering effec...
As cardiac arrhythmia remains one of the leading causes of death worldwide, early and accurate diagn...
UNLABELLED: Glioblastomas are incurable primary brain tumors that depend on neural-like cellular pro...
STUDY OBJECTIVES: We investigate a Mamba-based deep learning approach for sleep staging on signals f...
OBJECTIVE: Surface electromyographic (sEMG) signals of the diaphragm provide a valuable physiologica...
ECG-age, derived from ECG signals using deep neural networks (DNNs), correlates with health status b...
The clinical deployment of artificial intelligence (AI) solutions for assessing cardiovascular disea...
Electrocardiography is a cornerstone in the diagnosis of cardiovascular diseases; however, accurate ...
AIMS: Coronary angiography might contain clinically relevant information, beyond its traditional rol...
BACKGROUND: Approximately 3.8 billion people lack access to essential health services, and diagnosti...
Accurate detection of the QRS complex, a crucial reference for heartbeat localization in electrocard...
Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therap...
BACKGROUND: Incident atrial fibrillation (AF) is common following kidney transplantation (KTx) and i...
UNLABELLED: Heart rate (HR) reflects illness severity in critically ill patients, but the prognostic...
Diabetes is a major global health challenge, with many individuals remaining undiagnosed due to the ...
AIMS: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late w...
BACKGROUND: Mobile health (mHealth), leveraging mobile devices for health measurement and promotion,...
Automated electrocardiogram (ECG) classification plays a critical role in arrhythmia diagnosis. Howe...