Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
Artificial intelligence applied to the standard Ecg (Ai-Ecg) is able to enormously enhance the perfo...
Cardiovascular disease is one of the leading threats to human lives and its fatality rate still rise...
Fetal electrocardiogram (ECG) signals provide important clinical information for early diagnosis and...
AIMS: This study aims to identify and visualize electrocardiogram (ECG) features using an explainabl...
AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target ei...
BACKGROUND: Monitoring cardiac parameters is the fundamental aspect of every diagnostic process and ...
BACKGROUND: Defibrillators are medical devices (MDs) used in the most critical situations, hence the...