Latest AI and machine learning research in cardiovascular for healthcare professionals.
BACKGROUND: We evaluated the acceleration of a three-dimensional isotropic flow-independent magnetic...
Retinal images provide a non-invasive and accessible means to directly visualize human blood vessels...
Artificial intelligence (AI) is revolutionizing stroke care by enhancing diagnosis, treatment, and o...
Correcting dynamic fluctuations in Laser-induced breakdown spectroscopy (LIBS) due to the interactio...
Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed ...
Cardiovascular disease (CAD) is a major global public health issue, with mortality rates being signi...
OBJECTIVE: Blood pressure fluctuations during dialysis, including intradialytic hypotension (IDH) an...
To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery ...
BACKGROUND: Transcatheter aortic valve implantation (TAVI) therapy has demonstrated its clear benefi...
PURPOSE: Pulmonary hypertension (PH) is a complex disease classified into five groups (I-V) by the E...
OBJECTIVE: To compare the performance of three artificial intelligence (AI) classification strategie...
Heart failure (HF) remains a significant public health challenge with high mortality rates. Machine ...
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term ch...
BACKGROUND: People living with diabetes mellitus (DM) and chronic kidney disease (CKD) are at signif...
BACKGROUND: While the CT-based method of detecting clinically significant portal hypertension (CSPH)...
Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and ca...
Acute myocardial infarction is a condition in which a part of the heart muscle cannot receive enough...
Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fib...
STUDY OBJECTIVE: The aim of this study was to investigate whether goal-directed treatment using arti...
Big data can revolutionize research and quality improvement for cardiac ultrasound. Text reports are...
This paper explores the potential of transformer-based foundation models to detect Atrial Fibrillati...