Latest AI and machine learning research in myocardial infarction for healthcare professionals.
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...
Fatality rate in coronavirus disease 2019 (COVID-19) cases has been reported to be 3.4% worldwide. T...
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: Although idiopathic Parkinson's disease (IPD) is increasing with the aging population, t...
Automatic arrhythmia detection is very important for cardiovascular health. It is generally performe...
BACKGROUND: Valvular heart disease is an important contributor to cardiovascular morbidity and morta...
Detection of atrial fibrillation (AF) events is significant for early clinical diagnosis and appropr...
Atrial Fibrillation (AF) is a kind of arrhythmia, which is a major morbidity factor, and AF can lead...
Cardiovascular diseases (CVDs) are one of the principal causes of death. Cardiac arrhythmia, a criti...
Automated Electrocardiogram (ECG) classification using deep neural networks requires large datasets ...
Ballistography(BSG) is a non-intrusive and low- cost alternative to electrocardiography (ECG) for he...