Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: Pulmonary vein isolation (PVI) is an established treatment for atrial fibrillation (AF)....
Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey ...
GOAL: This paper presents a methodology for the automatic detection of sleep apnea from single-lead ...
Automatic processing and accurate diagnosis of pathological electrocardiogram (ECG) signals remains ...
Patients suffering from atrial fibrillation can be classified into different subtypes, according to ...
OBJECTIVE: This study aimed to assess the technical success, radiation dose, safety and performance ...
The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing...
Accuracy alone gives little information about which features or model components improve probabilist...
A feed ranker scores candidates with a value model, a weighted sum of engagement predictions. Each p...
Electrocardiography (ECG) is a cornerstone of cardiac diagnosis, yet most machine learning methods f...
Physics-informed neural networks (PINNs) supervise on the residual of a known differential operator....
Laboratory measurements are essential for clinical decision making but typically require invasive bl...
Background: Artificial intelligence (AI) may improve electrocardiographic differentiation of Takotsu...
Vision Transformers deployed in medical imaging exploit spurious correlations, yet the internal mech...
Super-enhancers (SEs) drive cell-identity gene expression, yet their identification relies on epigen...
Background: Rheumatic mitral stenosis (RMS) disproportionately affects low-resource settings where e...
Background: Pacing-induced cardiomyopathy (PICM) is a major complication of chronic right ventricula...
Electrocardiogram (ECG) models need supervision that targets evolving weaknesses and remains faithfu...
Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder ...
Secure transmission of electrocardiogram (ECG) signals remains a major challenge in telecardiology. ...
With the increase of recycled water to offset water demand, the potential possibility to spread cont...