Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Accurate diabetes risk prediction relies on identifying key features from complex health datasets,...
This retrospective study leverages machine learning to determine the optimal timing for fracture rec...
Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who...
This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms", pu...
This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms" [ar...
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring t...
Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of pat...
Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and c...
Evaluating large artery atherosclerosis is critical for predicting and preventing ischemic strokes. ...
Atherosclerosis is a chronic inflammatory disease, this study aims to investigate the immune landsca...
Intracranial aneurysms (IAs) are serious cerebrovascular lesions found in approximately 5\% of the...
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often asso...
A generative model for the mesh geometry of intracranial aneurysms (IA) is crucial for training ne...
Accelerometer data obtained with wearable devices over extended periods of time provides objective, ...
PURPOSE: To evaluate the accuracy of 11 intraocular lens (IOL) calculation formulas in eyes undergoi...
BACKGROUND AND AIMS: Identification of individuals affected by familial hypercholesterolaemia (FH) i...
In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to stud...
Despite advances in research and patient management, atherosclerosis and its dreaded acute and chron...
Cell-cell interactions are crucial for understanding various physiological and pathological processe...
AIM: The study aims to investigate the prognostic value of deep learning based pericoronary adipose ...