Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Schizophrenia and bipolar disorder are severe mental illnesses that significantly impact quality of ...
Accurately differentiating severe from non-severe COVID-19 clinical types is critical for the health...
The 12-lead electrocardiogram (ECG) remains a cornerstone of cardiac diagnostics, yet existing artif...
Previous research has demonstrated acceptable diagnostic accuracy of AI-enabled sinus rhythm (SR) el...
Randomized controlled trials (RCTs) provide the highest level of clinical evidence but are often lim...
Accurate and timely electrocardiogram (ECG) interpretation is critical for diagnosing myocardial inf...
Early structural heart disease (SHD) detection is crucial for improving prognostic outcomes, but wid...
Timely and accurate assessment of electrocardiograms (ECGs) is crucial for diagnosing, triaging, and...
Respiratory infections are a leading cause of pediatric emergency visits globally, requiring timely ...
Hypertrophic cardiomyopathy (HCM) is frequently underdiagnosed. While deep learning (DL) models usin...
The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in noncar...
Fluoroquinolones, while clinically indispensable, carry underappreciated cardiovascular risks, parti...
Coronary angiography (CAG) reports contain many details about coronary anatomy, lesion characteristi...
Chest pain is among the most common chief complaints in Emergency Departments (EDs), and differentia...
Alzheimer’s disease (AD) is a complex neurodegenerative disorder with limited therapeutic options. T...
Atrial fibrillation (AF), a common cardiac arrhythmia, can lead to severe complications, emphasizing...
Artificial intelligence (AI) models can now detect patterns of structural heart diseases (SHDs) from...
Magnetic Resonance Diffusion-Weighted Imaging (DWI) is a crucial tool for diagnosing acute ischemic ...
The miniECG, a smartphone-sized, multi-lead device, offers a simple and fast alternative to the 12-l...
To evaluate the performance of an ensemble classifier, MultiECGNet, using multi-format electrocardio...
Precision-guided dual antiplatelet therapy (DAPT) duration post-percutaneous coronary intervention (...