Latest AI and machine learning research in arrhythmias for healthcare professionals.
Accurate arrhythmia classification from short clinical ECGs is hard to achieve and explain. Prior st...
Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity b...
AIMS: Biological age derived from 12-lead electrocardiograms (ECGs) using deep learning has emerged ...
AIMS: Timely, accurate assessment of electrocardiograms (ECGs) is crucial for diagnosing, triaging, ...
We introduce a morphology-adaptive Au-Ag nanowire elastronic platform that conforms to diverse geome...
We introduce AACFD (Adaptive Autocorrelation Function Detector), a lightweight, fully automatic pipe...
PURPOSE: Real-time imaging of cardiac function is favorable due to shorter scan times and becomes ne...
Cardiac tamponade is a rare yet catastrophic complication during atrial fibrillation (AF) catheter a...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with...
BACKGROUND AND OBJECTIVES: Identifying predictors of shunt failure in acute care settings is challen...
Multimodal perioperative data from patients undergoing atrial fibrillation (AF) ablation offer valua...
BACKGROUND: Left bundle branch block (LBBB) significantly increases the risk of left ventricular sys...
INTRODUCTION: Intra-operative hypotension is common during caesarean section and may result in adver...
Heart failure (HF) is one of the major causes of morbidity and mortality globally, necessitating acc...
BACKGROUND: Coal workers' pneumoconiosis (CWP) is the most prevalent occupational disease that cause...
BACKGROUND: Heart failure mortality has risen sharply after years of decline, highlighting the limit...
Wearable devices play a crucial role in healthcare by enabling continuous monitoring of vital physio...
AIMS: The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in ...
Sudden cardiac death (SCD) remains one of the leading causes of death despite major advances in card...
AIMS: Artificial intelligence electrocardiography (AI-ECG) algorithms are emerging tools for identif...
AIMS: The success of ablation for atrial fibrillation (AF) varies, often leading to repeat ablation....