Atherosclerosis

Validation of Automated Strain Calculation Initialised by Deep Learning Segmentation for Abdominal Aortic Aneurysm Ultrasound.

Translational Hepatology From Bedside to Global Policy: How Robust Clinical and Translational Research Reshapes Global Practice Guidelines and Patient Outcomes.

Over four decades, translational hepatology has evolved from empirical observations into an evidence...

AI-Enhanced Super-Resolution Handheld Ultrasound for Carotid Plaque Detection in Community Screening.

PURPOSE: Ischemic stroke is a leading cause of disability and death, and early identification of car...

Viscoelastic hemostatic assays in trauma-induced coagulopathy: Precision transfusion, fibrinolytic phenotyping, and future directions.

Trauma-induced coagulopathy (TIC) is a rapidly evolving hemostatic disorder that develops early afte...

Real-World External Validation of Artificial Intelligence-Based Full-Vessel Segmentation for Intracoronary Optical Coherence Tomography.

BACKGROUND: Artificial intelligence (AI) allows automated evaluation of intracoronary optical cohere...

Comprehensive Artificial Intelligence Based Analysis of Pre- and Post-operative Computed Tomography Scans in Patients Undergoing Endovascular Abdominal Aortic Repair.

OBJECTIVE: Endovascular aortic repair (EVAR) requires lifelong imaging surveillance to monitor poten...

Single-cell transcriptomics combined with Mendelian randomization reveals the pivotal role of WDR83OS in clear cell renal cell carcinoma: An observational and bioinformatic study.

This study aimed to comprehensively investigate the molecular mechanisms of clear cell renal cell ca...

Explainable artificial intelligence for predicting mortality in geriatric patients undergoing hip arthroplasty: Machine learning analysis using national health insurance data.

We performed machine learning analysis of population data to determine the major determinants of 1-y...

Machine learning identifies autophagy biomarkers driving microvascular injury in cardiac ischemia/reperfusion.

BACKGROUND: Ischemic heart disease (IHD) remains a leading global cause of mortality. While reperfus...

Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.

BACKGROUND: Prolonged fasting may improve metabolic health, but controlled data in healthy adults wi...

Circulating Cell-free DNA as a biomarker for radiation-induced injury: From mechanistic insights to clinical translation.

Circulating cell-free DNA (cfDNA) has attracted increasing attention as a minimally invasive biomark...

Inter-Model Variability of ChatGPT, Gemini and Claude in Treatment Recommendations for Unruptured Intracranial Aneurysms.

Patients increasingly consult large language models (LLMs) before specialist review, yet whether fro...

The molecular landscape of hypertrophic cardiomyopathy across disease stages and genotypes.

Hypertrophic cardiomyopathy (HCM) is marked by asymmetric cardiac wall thickening, hypercontractilit...

Prospective Shadow-Mode Evaluation of an Artificial Intelligence Tool for Intracranial Aneurysm Detection on CT Angiography: Incremental Yield and Operational Impact.

OBJECTIVE: To evaluate the operational performance of an FDA-cleared artificial intelligence (AI) al...

Quantitative CCTA Plaque Differences Between Japanese and Non-Japanese Patients: Insights From ADVANCE.

Identification of Ferro-Aging-Related Biomarkers for Ulcerative Colitis Through Integrated Machine Learning, Single-Cell Analysis, and Spatial Transcriptomics.

Ulcerative colitis (UC) is characterized by chronic mucosal inflammation, epithelial injury, oxidati...

Integrating Conventional and Emerging Approaches in Cardiovascular Risk Assessment and Management.

Cardiovascular diseases (CVDs) remain the leading cause of global mortality, and the burden is risin...

A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation.

OBJECTIVE: This study aimed to develop and externally validate a machine learning-based risk predict...

Discovery and validation of novel plasma protein biomarkers for severe tuberculosis patients.

OBJECTIVE: Severe tuberculosis (STB) imposes a substantial disease burden, yet reliable biomarkers f...

Fellow-eye retinal age gap and high injection burden over four years in neovascular age-related macular degeneration.

PURPOSE: To evaluate whether fellow-eye retinal age gap (RAG), estimated using a deep learning model...

Analyzing model inaccuracy and relative importance of parameters of discrete model of adhesion of circulating tumor cells for investigating metastatic dynamics.

Metastasis is strongly influenced by the ability of cancerous cells to adhere to endothelial cells, ...