Latest AI and machine learning research in cardiovascular for healthcare professionals.
PURPOSE: This study aims to harness machine learning techniques, particularly the Random Survival Fo...
Cardiac Cine Magnetic Resonance Imaging (MRI) provides an accurate assessment of heart morphology an...
Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like p...
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is ...
The gut microbiome, recognized as a critical component in the development of chronic diseases and ag...
Coronary artery disease represents a formidable health threat to middle-aged and elderly populations...
Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke...
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is link...
PURPOSE: Heart failure (HF) is a clinical syndrome in which structural or functional abnormalities o...
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtua...
Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow ...
PURPOSE: Measures of disease burden using hospital administrative data are susceptible to over-infla...
OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcer...
BACKGROUND: Ischemic stroke affects 15 million people worldwide, causing five million deaths annuall...
BACKGROUND: Detecting and segmenting intracranial aneurysms (IAs) from angiographic images is a labo...
BACKGROUND AND AIMS: Post-stroke dysphagia is highly prevalent and causes complication. While video ...
Multimodal data, while being information-rich, contains complementary as well as redundant informati...
BACKGROUND AND PURPOSE: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electri...
This study aimed to construct machine learning models and predict prolonged intensive care units (IC...
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA wi...
Machine learning exhibits excellent performance in terms of predictive power. We aimed to construct ...