Latest AI and machine learning research in arrhythmias for healthcare professionals.
Alterations in Heart Rate (HR) and Heart Rate Variability (HRV) reflect autonomic dysfunction assoc...
AIMS: The increasing use of insertable cardiac monitors (ICM) produces a high rate of false positive...
Given the psychosocial and ethical burden, patients with hypertrophic cardiomyopathy (HCMs) could b...
Automated detection of atrial fibrillation (AF) from electrocardiogram (ECG) traces remains a challe...
12-lead electrocardiogram (ECG) is a widely used method in the diagnosis of cardiovascular disease (...
Classification of electrocardiogram (ECG) signals plays an important role in the diagnosis of heart ...
Automatic signal analysis using artificial intelligence is getting popular in digital healthcare, su...
In this work, we classify the stress state of car drivers using multimodal physiological signals and...
Real-time cine cardiac MRI provides an ECG-free free-breathing alternative to clinical gold-standard...
Atrial fibrillation (AF) is the most common, sustained cardiac arrhythmia. Early intervention and tr...
Microwave ablation (MWA) therapy is a well-known technique for locally destroying lung tumors with t...
The development of sophisticated machine learning algorithms has made it possible to detect critical...
QT prolongation often leads to fatal arrhythmia and sudden cardiac death. Antiarrhythmic drugs can i...
The quantity of data generated within healthcare is increasing exponentially. Following this develop...
Even though the interest in machine learning studies is growing significantly, especially in medicin...
Deep Learning architectures for time series require a large number of training samples, however trad...
As the use of artificial intelligence within healthcare is on the rise, an increased attention has b...
AIMS: Available predictive models for sudden cardiac death (SCD) in heart failure (HF) patients rema...
About 6.5 million people are infected with Chagas disease (CD) globally, and WHO estimates that $ > ...
Nowadays, the increasing number of medical diagnostic data and clinical data provide more complement...
Artificial intelligence opens up multiple application scenarios to the electrocardiogram (Ai-Ecg) in...