Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: Diabetic retinopathy (DR) is a leading cause of vision loss, yet conventional retinal sc...
Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause ...
Heart arrhythmias are associated with serious cardiovascular diseases and can result in fatal outcom...
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a public health burden with the majority occurr...
The detection of cardiac arrhythmias from electrocardiogram (ECG) signals is essential for preventin...
OBJECTIVES: The atrial repolarization (Ta wave) characteristics remains largely unexplored, given it...
The growing adoption of artificial intelligence in healthcare highlights the need for models that ca...
Artificial intelligence (AI)-based screening tools show promise for early identification of chronic ...
BACKGROUND: Pulmonary vein isolation (PVI) has become the cornerstone of atrial fibrillation (AF) tr...
AIMS: AI in electrocardiography (ECG) has diverged into two paths: traditional signal processing wit...
BACKGROUND: Coronary flow reserve reflects microvascular function, whereas filling pressure indicate...
OBJECTIVE: This study aimed to develop and validate a predictive model incorporating early VRR slope...
IMPORTANCE: Early detection of risk of heart failure with reduced ejection fraction remains challeng...
Cardiovascular diseases remain the leading cause of death worldwide, highlighting the need for non-i...
BACKGROUND: Atrial fibrillation (AF) is the most common sustained arrhythmia worldwide and a major c...
INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pedia...
Acute coronary syndrome(ACS) is a common cardiovascular disease and a severe type of coronary heart ...
Seizure forecasting and affective state analysis using EEG-ECG data play a pivotal role in advancing...
This special article represents the eighth installment in an annual Journal of Cardiothoracic and Va...
OBJECTIVE: To improve mortality risk prediction from heart rate variability (HRV) signals by capturi...
In clinical electrocardiogram (ECG) analysis, high-quality annotations are expensive and difficult t...