Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Premature ventricular contraction (PVC) is a common type of abnormal heartbeat. Without early diagno...
BACKGROUND/PURPOSE: Coronary stent deployment outcomes can be negatively impacted by inaccurate lesi...
The paper deals with ECG prediction based on neural networks classification of different types of ti...
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is inve...
BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspec...
GOAL: This paper presents a methodology for the automatic detection of sleep apnea from single-lead ...
Aim of this study was to evaluate the role of Myeloperoxidase (MPO) and high sensitive Troponin T in...
Automatic processing and accurate diagnosis of pathological electrocardiogram (ECG) signals remains ...
OBJECTIVE: To evaluate the prevalence of pharmacological resistance to aspirin therapy by measuring ...
Deep-learning ECG analysis is advancing rapidly but lacks stable, physiologically interpretable indi...
Cardiovascular disease is the leading cause of death worldwide. Sudden cardiac death (SCD) accounts ...
Background Artificial intelligence-enhanced electrocardiography (AI-ECG) enables scalable, low-cost ...
Electrocardiography (ECG) is central to cardiovascular care, but conventional AI models are often re...
Cardiovascular diseases (CVDs) remain a leading cause of death globally, necessitating continuous, a...
Background: Machine-learning models based on circulating biomarkers are increasingly used in cardiov...
Real-time cognitive load assessment is essential for adaptive human-computer interaction but remains...
The accurate automated diagnosis of cardiac abnormalities from 12-lead electrocardiograms (ECGs) is ...
Despite the growing success of deep learning (DL) in multivariate time-series classification, such a...
While scaling laws have established a fundamental framework for foundation models in natural languag...
Electrocardiogram (ECG)-based biometric recognition has emerged as a promising solution for secure a...
Rheumatic heart disease (RHD) remains a major public health concern across low- and middle-income co...