Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Atrial fibrillation (AF) is a common arrhythmia, and out-of-hospital, wearable, long-term electrocar...
To investigate the factors that influence readmissions in patients with acute non-ST elevation myoca...
INTRODUCTION: Preeclampsia is a disease with an unknown pathogenesis and is one of the leading cause...
Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. ...
Deep learning-based methods have demonstrated high classification performance in the detection of ca...
Artificial intelligence-enhanced identification of organs, lesions, and other structures in medical ...
Electrocardiogram (ECG) is the main criterion for arrhythmia detection. As a means of identification...
The prevalence of cardiovascular disease (CVD) has surged in recent years, making it the foremost ca...
Atrial Fibrillation (AF), a type of heart arrhythmia, becomes more common with aging and is associat...
Intracranial pressure (ICP) is commonly monitored to guide treatment in patients with serious brain ...
The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarc...
An always-on electrocardiogram (ECG) anomaly detector (EAD) with ultra-low power (ULP) consumption i...
Cardiovascular diseases are a major cause of mortality globally, and electrocardiograms (ECGs) are c...
Cardiopathy has become one of the predominant global causes of death. The timely identification of d...
Monitoring heart conditions through electrocardiography (ECG) has been the cornerstone of identifyin...
BACKGROUND AND OBJECTIVE: Automatic electrocardiogram (ECG) signal analysis for heart disease detect...
Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, severa...
Cardiac resynchronization therapy (CRT) can lead to marked symptom reduction and improved survival i...
The heart's study holds paramount importance in human physiology, driving valuable research in cardi...
BACKGROUND: Machine learning (ML) models have the potential to accurately predict outcomes and offer...
PURPOSE OF REVIEW: Artificial intelligence (AI) is transforming electrocardiography (ECG) interpreta...