Atherosclerosis

Advancing Coronary Risk Assessment Through Combined Radiomic, Mechanical, and Hemodynamic Analysis.

PURPOSE: Detecting vulnerable coronary plaques through coronary computed tomography angiography (CCT...

Prolonging Sample Stability with Machine Learning Expands the Catalog of Tests Available for Mail-In Capillary Blood Collected At-Home.

Self-collection of biospecimens at-home, without specialized equipment or training, are increasingly...

Comment on: "Assessing AI-generated patient leaflets on descemet membrane endothelial keratoplasty".

Association of allostatic load index with cognitive impairment in high-risk stroke populations.

BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelera...

Comparative machine learning models for early prediction of preterm birth from maternal serum biomarkers.

BACKGROUND: Preterm birth (PTB) is a major cause of neonatal morbidity and mortality. Inflammation a...

Cerebrovascular 5D flow MRI.

BACKGROUND: 4D flow MRI facilitates quantification of cardiac phase-resolved blood velocity vector f...

Features of B-mode ultrasound and contrast-enhanced ultrasound of carotid plaque based on deep learning enhance the prediction of vulnerable plaques associated with acute ischemic stroke.

OBJECTIVES: To develop an AI model using ultrasound features of carotid plaque for predicting the ri...

3D Cardiac Magnetic Resonance Substrate Features-Based Machine Learning Model for Post-myocardial Infarction Risk Stratification: a Multicenter Study.

BACKGROUND: Accurate risk stratification post-myocardial infarction (MI) remains challenging. This s...

Metabolic factor-based machine learning model for mortality prediction in acute hepatitis E: Development and validation from a dual-center cohort.

BACKGROUND: Hepatitis E virus (HEV) infection remains a major cause of liver failure with high short...

Integrated Human Organic Pollutant Exposome and Metabolome Analysis Reveals Biomarkers and Health Risks from Electronic Waste Exposure.

Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. ...

Pericoronary Adipose Tissue Imaging: Quantitative Assessment, Artificial Intelligence Integration, and Therapeutic Modulation.

Pericoronary adipose tissue (PCAT) is increasingly recognised as a biosensor of vascular inflammatio...

Performance Analysis of Deep Learning Models for Segmentation of Carotid Artery Vessel Wall in 3D-MERGE Images.

BACKGROUND: Carotid vessel wall segmentation and determination of the lumen area are crucial for the...

Development of an artificial intelligence platform to improve compliance in periodontal maintenance patients: A proof-of-concept study.

BACKGROUND: The purpose of this study is to report on the development of an artificial intelligence ...

Machine Learning for Predicting Stroke Risk Stratification Using Multiomics Data: Systematic Review.

BACKGROUND: Stroke is a complex, multidimensional disorder influenced by interacting inflammatory, i...

CSF proteomics identifies ADGRG1 as a predictive biomarker of intrathecal immune checkpoint inhibitor response in leptomeningeal metastasis.

BACKGROUND: Leptomeningeal metastasis (LM) is a fatal complication of advanced cancer with limited t...

Open-source framework for detecting bias and overfitting for large pathology images.

Even foundational models trained on large-scale datasets may learn to rely on non-relevant artifacts...

Self-supervised ultrasound B-mode strain elastography using SMURF.

Displacement tracking is an integral part of ultrasound strain elastography (USE) and various approa...

Development of a chemometric-assisted SERS method for simultaneous analysis of HDL and LDL cholesterol in blood serum with silver nanoparticles as substrate.

Cardiovascular diseases (CVD) are becoming a serious threat to human health. These are considered th...

An Artificial Intelligence-Selected Multifunctional Oligopeptide Coated Biphasic Calcium Phosphate (BCP) Scaffold Promotes Bone Defect Repair.

Bone defects caused by inflammation, trauma, tumor resection, or tooth extraction present persistent...

Exploration of an interpretable machine learning-based screening manner for low muscle mass among Chinese community-dwelling older adults using routine physical examination information.

BACKGROUND: With the accelerating aging of the global population, muscle health issue occurs commonl...

APOE genotype and the effect of statins on lipid outcomes: A meta-analysis.

AIM: APOE genotype may affect statin therapy response. We conducted a meta-analysis to update and qu...