Latest AI and machine learning research in myocardial infarction for healthcare professionals.
BACKGROUND: Machine learning clustering of patients with ST-elevation acute myocardial infarction (S...
This study aimed to develop several new machine learning models based on hibernating myocardium to p...
BACKGROUND: Coronary perfusion pressure (CPP) indicates spontaneous return of circulation and is rec...
Accurate delineation of key waveforms in an ECG is a critical step in extracting relevant features t...
To investigate the factors that influence readmissions in patients with acute non-ST elevation myoca...
Atrial fibrillation (AF) is a common arrhythmia, and out-of-hospital, wearable, long-term electrocar...
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...
Cardiopathy has become one of the predominant global causes of death. The timely identification of d...
Cardiovascular diseases are a major cause of mortality globally, and electrocardiograms (ECGs) are c...
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...