Latest AI and machine learning research in atherosclerosis for healthcare professionals.
This study undertakes a comprehensive examination of the intricate link between diet nutrition, age,...
PURPOSE: To enhance the performance of machine learning (ML) models for the post-embolization recana...
PURPOSE OF REVIEW: This review evaluates how Artificial Intelligence (AI) enhances atherosclerotic c...
Cardiogenic cerebral infarction (CCI) is a disease in which the blood supply to the blood vessels in...
OBJECTIVE: Adolescents with major depressive disorder (MDD) are at increased risk of premature ather...
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characteri...
OBJECTIVE: To evaluate variability in aneurysm detection and the potential of artificial intelligenc...
For high-frame-rate ultrasound imaging, it remains challenging to implement on compact systems as a ...
INTRODUCTION: Metabolic syndrome (MetS) is considered to be an important parameter of cardio-metabol...
Elevated lipoprotein (a) (Lp(a)) is associated with premature atherosclerotic cardiovascular disease...
AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classifi...
Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality. Given th...
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived techn...
To predict endoleaks after thoracic endovascular aneurysm repair (TEVAR) we submitted patient charac...
Lateral lipid heterogeneity (i.e., raft formation) in biomembranes plays a functional role in living...
OBJECTIVE: Obtaining automated, objective 3-dimensional (3D) models of the Eustachian tube (ET) and ...
Hyperuricemia (HUA) is a symptom of high blood uric acid (UA) levels, which causes disorders such as...
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardi...
ObjectivesAssessment of plaque stenosis severity allows better management of carotid source of strok...
To date, there are no widely implemented machine learning (ML) models that predict progression from...
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC...