Latest AI and machine learning research in atherosclerosis for healthcare professionals.
High-density lipoprotein (HDL) particle diameter distribution is informative in the diagnosis of man...
Exploratory analysis of single-cell RNA sequencing (scRNA-seq) typically relies on hard clustering o...
PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in cornea...
Three-dimensional (3D) bioprinting is a promising approach to developing reliable tissue substitutes...
BACKGROUND: Diabetes is a chronic condition that significantly impacts the cardiovascular system and...
BACKGROUND: Metabolic disorder and endothelial dysfunction (ED) are key events in the development an...
Accurate classification of carotid plaques is critical to assessing the risk of cardiovascular disea...
Parkinson's disease (PD) is a common and debilitating neurodegenerative disorder. The inflammatory r...
OBJECTIVE: Carotid plaque represents an independent risk factor for cardiovascular disease and a sig...
PURPOSE: This study proposes a novel deep learning-based approach for aneurysm wall characteristics,...
Intracranial aneurysms, with an annual incidence of 2%-3%, reflect a rare disease associated with si...
Atherosclerotic cerebrovascular disease could result in a great number of deaths and disabilities. H...
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, d...
In the last decade, artificial intelligence (AI) has influenced the field of cardiac computed tomogr...
Purpose To assess the diagnostic performance of a coronary CT angiography (CCTA) artificial intellig...
Modelling biological systems depends on the availability of data and components of the system at han...
Artificial intelligence (AI) is increasingly significant in neurosurgery, enhancing differential dia...
Rupture of advanced carotid atherosclerotic plaques increases the risk of ischaemic stroke, which ha...
For World Heart Day on September 24, 2024, the World Heart Federation urges nations to endorse natio...
We present an unsupervised deep learning method to perform flow denoising and super-resolution witho...
Ischemic stroke (IS) has a high recurrence rate. Machine learning (ML) models have been developed ba...