Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Although significant progress has been made in recent years, some important questions remain regardi...
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grad...
INTRODUCTION: AI-based ECG has shown good accuracy in diagnosing heart failure. However, due to the ...
Electrocardiogram (ECG) signals are crucial in diagnosing cardiovascular diseases (CVDs). While wave...
BACKGROUND: Cardiac arrest (CA) is the sudden cessation of heart function, typically resulting in lo...
BACKGROUND: Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood ...
In recent years, wearable devices such as smartwatches and smart patches have revolutionized biosign...
BACKGROUND: Acute Stanford Type A aortic dissection (AAD-type A) and acute myocardial infarction (AM...
INTRODUCTION: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in younge...
Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a h...
Angio-based microvascular resistance (AMR) as a potential alternative to the index of microcirculato...
This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis pat...
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional i...
Cardiovascular disease (CVD) poses a significant challenge to global health, with cardiac arrhythmia...
BACKGROUND: As the incidence and prevalence of Atrial Fibrillation (AF) proliferate worldwide, the c...
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a significant cause of life-threatening heart ...
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery by...
This study investigates mental fatigue in sports activities by leveraging deep learning techniques, ...
BACKGROUND: Hemorrhagic transformation (HT) is a complication of reperfusion therapy following acute...
OBJECTIVE: In Long-Term Monitoring (LTM), noise significantly impacts the quality of the electrocard...
OBJECTIVE: To develop and validate an explainable machine learning (ML) model predicting the risk of...