Latest AI and machine learning research in atherosclerosis for healthcare professionals.
PURPOSE: This study aimed to establish and validate a prediction model based on machine learning met...
PURPOSE: To develop and evaluate the performance of fully automated model based on deep learning and...
BACKGROUND: Cerebral aneurysms pose a significant risk to patient safety, particularly when ruptured...
PET imaging has become a valuable tool for assessing atherosclerosis by targeting key processes such...
Causal effect estimation of individual heterogeneity is a core issue in the field of causal inferenc...
BACKGROUND: Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that s...
To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature ...
Atherosclerosis (AS) is a complex cardiovascular disease associated with mitochondrial dysfunction (...
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary compute...
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...
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring t...
Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and c...
Atherosclerosis is a chronic inflammatory disease, this study aims to investigate the immune landsca...
Evaluating large artery atherosclerosis is critical for predicting and preventing ischemic strokes. ...
Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of pat...
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often asso...
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...
PURPOSE: To evaluate the accuracy of 11 intraocular lens (IOL) calculation formulas in eyes undergoi...
Accelerometer data obtained with wearable devices over extended periods of time provides objective, ...
BACKGROUND AND AIMS: Identification of individuals affected by familial hypercholesterolaemia (FH) i...