Latest AI and machine learning research in atherosclerosis for healthcare professionals.
BACKGROUND: Surrogate insulin resistance (IR) indices are simpler and more practical alternatives to...
OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative...
Periodontal inflammation is a chronic condition affecting the tissues surrounding teeth. Initiated b...
BACKGROUND: Intracranial aneurysm rupture is associated with high mortality and disability rates. Ea...
The study of type 2 diabetes mellitus (T2DM) pathophysiology relies mainly on the use of animal mode...
Every year, Coronary Artery Disease (CAD) claims lives of over a million people. CAD occurs when the...
• Application of real-world data and artificial intelligence in detecting cardiotoxicity following c...
Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly...
BACKGROUND: We aimed to develop and validate an Artificial Intelligence (AI) model that leverages CC...
: Diet plays an important role in preventing and managing the progression from prediabetes to type 2...
Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive abil...
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women wit...
PURPOSE: To assess the rate of retinal vascularization derived from ultra-widefield (UWF) imaging-ba...
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EV...
Current research on the association between demographic variables and dietary patterns with atherosc...
A neural network was trained to generate synthetic images of severe and moderate psoriatic plaques, ...
This study aims to develop a deep learning model using high-resolution vessel wall imaging (HR-VWI) ...
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tom...
BACKGROUND: The atherogenic index of plasma (AIP) is considered an important marker of atheroscleros...
This study investigates the use of deep learning (DL) models to predict low-density lipoprotein chol...
BACKGROUND: The atherosclerotic cardiovascular disease (ASCVD) is associated with dementia. However,...