Metabolic Syndrome

Deep Learning-Based 3D CT Body Composition Is Associated With Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement.

BACKGROUND: Recent advances in artificial intelligence enable fully automated 3-dimensional computed...

Association between the triglyceride-glucose-waist circumference index and obstructive sleep apnoea: a hospital-based case-control study in China and the development of machine learning models.

Association of Occupational Noise Exposure with Hypertension and the Mediating Role of Metabolic Dysregulation: A Combined Cross-Sectional and Longitudinal Study.

BACKGROUND: Evidence linking occupational noise to hypertension remains inconsistent, and potential ...

AI-derived panoramic score and its association with major systemic diseases: A retrospective cross-sectional study.

OBJECTIVES: This study evaluated whether an AI-generated, panoramic radiograph-based score was assoc...

TyG-ABSI and TyG-WWI as insulin-resistance body shape markers of mortality in middle-aged and older adults within the cardiovascular-kidney-metabolic framework: A multi-cohort observational study with external survival-model validation.

Insulin resistance, adiposity, kidney dysfunction, and cardiovascular disease are closely interconne...

Association of the triglyceride-to-high-density lipoprotein cholesterol ratio with kidney stone status: cross-sectional and machine-learning analyses.

This study investigated the association between triglyceride-to-high-density lipoprotein cholesterol...

Fractional-order dynamical modelling of neurophysiological reaction-diffusion model of adiposity-induced cognitive decline using physics-informed neural networks.

Obesity, hyperglycemia, and aging are major risk factors for dementia-related disorders, particularl...

fiLiver and spleen elastography-based prediction models for clinically significant portal hypertension and high-risk esophageal varices: a systematic review of conventional and machine-learning approaches.

The presence of clinically significant portal hypertension (CSPH) and high-risk esophageal varices (...

A Machine Learning Framework for Predicting Functional Status and Estimating Health Care Costs in Pulmonary Arterial Hypertension: Retrospective Cohort Study.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a rare and progressive disease associated with ...

Identification of predisposing factors for hematotoxicity in occupational benzene-exposed workers using machine learning and SHAP interpretation.

Benzene is an important industrial material and environmental pollutant, and even low-level exposure...

Identifying drugs associated with Alzheimer's disease risk using machine learning-assisted signal detection.

BackgroundSeveral Alzheimer's disease (AD) clinical trials currently focus on drug repurposing. Mach...

Hypertensive disorders of pregnancy: epidemiology, pathophysiology, therapeutic strategies, and maternal-offspring outcomes.

Hypertensive disorders of pregnancy (HDP) encompass chronic hypertension, gestational hypertension, ...

Cardiometabolic Assessment in Patients with Overweight, Obesity, or Type 2 Diabetes Undergoing Artificial Intelligence-Based Retinal Screening: A Real-World Evidence Study.

Background: Overweight, obesity, and type 2 diabetes (T2DM) increase the risk of vascular complicati...

AI-Enhanced Wearable Glucose Sensors: From Intelligent Sensing to Closed-Loop Management of Diabetes.

Wearable glucose sensors enable continuous monitoring of glycemic dynamics, yet their clinical utili...

Large esophageal varices predict hepatocellular carcinoma in newly diagnosed cirrhosis: insights from machine learning and propensity score analysis.

INTRODUCTION AND OBJECTIVES: Hepatocellular carcinoma (HCC) is a major complication of chronic liver...

Prediction of cardiovascular outcomes using electrocardiography from overnight polysomnography.

STUDY OBJECTIVES: Polysomnography (PSG) is the gold standard for diagnosing sleep disorders, which a...

Beyond blood pressure: AI-assisted multi-omics biomarker stratification for stroke risk in hypertension: clinical chemistry, analytical validation, and translational perspectives.

BACKGROUND: Hypertension remains a major contributor to stroke burden; however, conventional blood p...

An Explainable Machine Learning Model Integrating Clinical Parameters for Identifying Left Atrial Appendage Thrombus in Non-valvular Atrial Fibrillation.

OBJECTIVE: This study aimed to develop a predictive model for left atrial appendage thrombus (LAAT) ...

Visibility of the Korean National Health Information Portal across search engines and generative artificial intelligence platforms: a repeated cross-sectional study.

OBJECTIVES: This study assessed changes in the visibility of the National Health Information Portal ...

Improved plaque composition from intensive medical treatment in women with angina and non-obstructive coronary disease.

AIMS: Among women with suspected ischaemia and non-obstructive coronary artery disease (INOCA), the ...

Depressive Symptom Predictors in Older Mexican Adults: Interaction Structures and Nonlinear Effects from Machine Learning Explainability.

BACKGROUND: Depression among older adults remains a critical public health issue in Latin America, w...