Atherosclerosis

MRI-based shear stress profiles in subclinical carotid atherosclerosis - A feasibility study.

Arterial wall shear stress (WSS) plays an important role in atherosclerosis, but its assessment is o...

The Influence of Patient Persona and Affective Framing on Management Recommendations of ChatGPT, Gemini and Claude for Unruptured Intracranial Aneurysms: A Comparative Benchmarking Study.

Patients increasingly consult large language models (LLMs) before specialist review and may do so in...

Accuracy and Readability of Generative Artificial Intelligence for Vascular Surgery Patients: A Specialist Based Evaluation Highlighting the Current Landscape of Safety Risks and Accessibility Gaps.

OBJECTIVE: Patients frequently seek health information and medical advice from chatbots instead of c...

Prediction and critical feature analysis for coronary artery calcification progression.

Coronary calcification is a prevalent pathology and strong cardiovascular indicator. However, its pr...

Integrated Network Analysis Suggests an miR-21/MMP/VEGF-Associated Regulatory Axis in Gastric Cancer.

BACKGROUND, AIMS: Gastric cancer (GC) pathogenesis involves complex molecular interactions that rema...

Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study.

OBJECTIVE: To develop a predictive model for coronary atherosclerosis progression in patients with t...

AI-quantified Myosteatosis at CAC CT for Prediction of Atrial Fibrillation and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.

Purpose To evaluate whether the artificial intelligence (AI)-quantified mean thoracic skeletal muscl...

Prediction Model for Mild Cognitive Impairment in Older Chinese Patients With Cerebral Small Vessel Disease Based on XGBoost Algorithms and Shapley Additive Explanations.

OBJECTIVE: This study aims to evaluate cognitive function in patients with Cerebral Small Vessel Dis...

Machine-Learning-Based Evaluation of the Prognostic Significance of the Non-High-Density Lipoprotein to High-Density Lipoprotein Cholesterol Ratio in Critical Ischemic Stroke.

BACKGROUND This study examined associations of the non-high-density lipoprotein to high-density lipo...

Deep Learning for Standardized Carotid Plaque Assessment: Addressing Observer Variability in the Plaque-Reporting and Data System Classification.

Automated segmentation of thyroid tissue and carotid artery in ultrasound videos using expert-in-the-loop deep learning: a foundational step toward AI-assisted thyroid diagnostics.

Ultrasound (US) is the primary imaging modality for thyroid evaluation, yet its diagnostic accuracy ...

Development and validation of a nomogram for predicting hemoptysis risk in patients with bronchiectasis: A study based on Random Forest algorithm.

Hemoptysis is a severe and potentially life-threatening complication of bronchiectasis. There is cur...

Engineering autoimmune disease models using organoids: Harnessing microenvironmental engineering for precision medicine and immunological recapitulation.

Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheu...

Cardiovascular risks of plastic-associated chemicals: Integrating mixture modeling and SHAP-explained machine learning to unravel linear and non-linear associations.

INTRODUCTION: Plastic-associated chemicals (PACs) are widely detected environmental contaminants, ye...

Integrating Multimodal Data and Genomics for a Comprehensive Assessment of Cardiovascular Aging and Its Impact.

BACKGROUND: Age-related structural and functional remodeling of the heart and vessels increases card...

Multi-domain identification of myocardial infarction incidence using explainable AI: the overlooked role of periodontal health.

Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Desp...

Predicting lower extremity deep vein thrombosis in elderly patients with hip fracture: A machine learning model with emphasis on diabetes as a key risk factor.

Lower extremity deep vein thrombosis (DVT) is a serious complication in elderly patients with hip fr...

Development of a machine learning-based noninvasive diagnostic model for liver fibrosis in metabolic-associated steatotic liver disease.

BACKGROUND: To address the lack of simple tools for assessing fibrosis in metabolic dysfunction-asso...

AI-derived oocyte morphology and follicular fluid biomarkers in donors.

Oocyte quality is a key determinant of reproductive success, yet its assessment in assisted reproduc...

Anatomy-specific Performance of CT Angiography-based AI for Anterior Circulation Occlusion: Systematic Review and Meta-Analysis.

Purpose To evaluate anatomy-specific diagnostic performance of CT angiography-based artificial intel...

Machine Learning Based on Multiparametric Features from Dual-Layer Detector Spectral CT for Identifying Ulcer-Like Projection in Aortic Intramural Hematoma.

Aortic intramural hematoma (IMH) is a high-risk subtype of acute aortic syndrome (AAS). The presence...