Latest AI and machine learning research in atherosclerosis for healthcare professionals.
BACKGROUND AND AIMS: The Mediterranean diet (MD) has been associated with better glycaemic control i...
OBJECTIVE: To investigate the performance of a deep learning machine vision-based model in identifyi...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may...
OBJECTIVE: This study aims to develop a low-dose CT-based, fully automated deep learning tool for sc...
Membrane-penetrating molecular devices are valuable biological tools. Herein, we describe membrane-t...
OBJECTIVES: To develop and validate a clinically applicable deep learning framework for automated se...
This study evaluated the utility of deep learning reconstruction (DLR) in vessel wall imaging (VWI) ...
AIMS: Thrombo- and microembolic complications following abdominal aortic aneurysm (AAA) repair are h...
BACKGROUND: Sex-related differences in coronary artery disease (CAD) burden and outcomes are increas...
PURPOSE: This study evaluated the performance of artificial intelligence (AI)-based brain aneurysm d...
Anterior segment optical coherence tomography (AS-OCT) is emerging as an essential tool in the diagn...
BACKGROUND: Hypertensive nephropathy (HTN) arises from chronic hypertension and may potentially resu...
Biomarker research in psychopathology increasingly employs high-dimensional Omics approaches. Yet, p...
BACKGROUND: Up to 50% of patients presenting with ST-elevation myocardial infarction (STEMI) have mu...
This study aims to explore the lymphangiogenesis (LG)-related diagnostic markers of abdominal aortic...
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions gov...
BACKGROUND: The rapid increase in the incidence of Alzheimer's disease (AD) has raised concerns, giv...
OBJECTIVE: Recent advancements in deep learning have shown significant potential in ultrasound imagi...
OBJECTIVES: High-resolution vessel wall imaging (HR-VWI) is essential for diagnosing vulnerable intr...
ETHNOPHARMACOLOGICAL RELEVANCE: Eleven Flavored Shenqi Tablets (EFST) is a classical multi-herbal pr...