Latest AI and machine learning research in arrhythmias for healthcare professionals.
Accurate assessment of consciousness during general anesthesia is crucial for optimizing anesthetic ...
Cardiovascular Diseases (CVDs) are the leading cause of mortality worldwide, necessitating early and...
The diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) requires advanced imaging, precludin...
Long QT syndrome (LQTS) is a life-threatening genetic disorder characterized by prolonged QT interva...
Schizophrenia and bipolar disorder are severe mental illnesses that significantly impact quality of ...
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...
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...
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...
This study aims to present the Segmentation-based Myocardial Advanced Refinement Tracking (SMART) sy...
Assessing the risk of future atherosclerotic cardiovascular disease (ASCVD) is crucial in clinical p...
Off-label drug use, i.e., uses of a drug that differ from what regulatory authorities have approved,...
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...
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...
An electrocardiogram (ECG) is essential for diagnosing cardiac abnormalities. Automated heartbeat cl...