Latest AI and machine learning research in arrhythmias for healthcare professionals.
To establish population-specific, age- and sex-stratified electrocardiographic (ECG) reference range...
Electrocardiograms (ECGs) play a crucial role in cardiovascular healthcare, requiring effective anal...
BACKGROUND: Several artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown pr...
OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-i...
OBJECTIVES: To enhance the accuracy and reliability of 12-lead electrocardiogram (ECG) automatic dia...
BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping ...
INTRODUCTION: Premature Ventricular Contractions (PVCs) are common cardiac arrhythmias originating f...
Multimodal Machine Learning (MML) methods address various efficient ways of driving insights from va...
Fetal brain magnetic resonance imaging (MRI) has been recognized as a vital diagnostic tool for iden...
Lidocaine (LID), an amide-type local anesthetic and antiarrhythmic agent, remains one of the most ex...
Left bundle branch block (LBBB) is an important electrocardiographic (ECG) finding strongly associat...
Artificial intelligence (AI)-derived electrocardiographic (ECG) age is a promising marker of atrial ...
BACKGROUND: Intracardiac echocardiography (ICE)-based electroanatomical mapping (EAM) improves proce...
BACKGROUND: Low left ventricular ejection fraction (LEF) can progress undiagnosed. Artificial intell...
PURPOSE: Local tumor progression (LTP) of hepatocellular carcinoma (HCC) after thermal ablation (TA)...
OBJECTIVE: Identifying the first (S1) and second (S2) heart sounds from phonocardiogram (PCG) signal...
OBJECTIVE: Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive...
The severe environmental impact of conventional plastic electronics necessitates next-generation wea...
Objective. Fetal and maternal health during pregnancy can be monitored with sensors such as Doppler ...
Artificial intelligence (AI) in cardiology has evolved from rule-based expert systems to data-driven...
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia worldwide, with catheter ablation...