Primary Care

Machine Learning Reveals Role-Asymmetric Electronic Cooperation in Fe-Based Dual-Atom Catalysts.

Dual-atom catalysts (DACs) provide a powerful platform for oxygen electrocatalysis, yet rational design remains limited by the lack of transferable mechanistic principles. Machine learning (ML) has the potential to address this gap, yet its role in mechanistic discovery remains largely underexplored despite its wide use in catalyst screening. Here, using extended phthalocyanines (M1M2-ePc), we est...

Bioinformatics and Machine-Learning Identification of Pulmonary Hypertension Biomarkers and Candidate Therapeutic Compounds.

This study aimed to identify pulmonary hypertension (PH)-associated molecular biomarkers and candidate small-molecule compounds using public transcriptomic data and independent validation resources. Three Gene Expression Omnibus datasets (GSE22356, GSE33463, and GSE48149) were integrated following normalization, probe annotation, and ComBat batch-effect correction. Differential expression analysis...

Automating Motivational Interviewing Coding in Adolescent Substance Use Prevention: Human-AI Agreement Study.

BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI techniques and monitoring intervention adherence ...

Machine Learning-Based Prediction of Cycloplegic Refraction Using the Eyerobo Vision Screener: Design-A Cross-Sectional Comparative Device Study.

INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS), a portable handheld photorefractor, against a co...

Distinct relationships of compartment-specific fat distribution profiles with cardiovascular ageing and future cardiovascular events.

BACKGROUND: Obesity is a major contributor to cardiovascular disease (CVD). Different fat depots may have distinct effects on cardiac ageing and cardi...

Artificial Intelligence Detection of Interval Breast Cancers on False-negative Screening Mammograms: A Retrospective Lesion-level Analysis.

RATIONALE AND OBJECTIVES: Interval breast cancers (IBCs) occur after false-negative (FN) screening mammograms and can be diagnostically challenging. T...

Research Progress of Diabetes-related Glaucoma: Mechanisms, Impacts and Management Strategies.

Diabetes mellitus (DM), a highly prevalent metabolic disorder, is increasingly recognised for its significant association with glaucoma, a leading cau...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

Merging artificial intelligence and retinal vascular geometric parameters: A novel tool for diagnosis and prognosis prediction of diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. The retinal microvasculature, as the only directly observable m...

Intramuscular Fat Assessed by AI-Assisted Muscle Ultrasound: Association With Cardiometabolic Risk Factors and Diabetic Nephropathy in Diabetes Mellitus.

AIMS: Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiometabolic outcomes. Artificial intelligenc...

Adaptation of a fair individualized polysocial risk score for hospitalization risk prediction.

OBJECTIVES: We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally developed for patients with type 2 diabet...

Advancing Non-Invasive Diagnosis through Biomarker Detection in Biofluids.

Early and accurate identification of disease-associated biomarkers is essential for timely diagnosis and the advancement of personalized healthcare. A...

Pre-pandemic preventive healthcare engagement and all-cause excess mortality during COVID-19: a county-level ecological study in the United States.

OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contri...

Left ventricular hypertrophy as a predictor of adverse maternal and neonatal outcomes in chronic hypertension in pregnancy: a multicenter study.

OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH) on adverse maternal and fetal pregnancy outcomes...

Proof of Concept of Large Language Models for Opioid Treatment Policy Surveillance: 97% Agreement With Subject Matter Experts.

OBJECTIVE: Policy surveillance typically involves detailed, time-consuming manual screening of policies for inclusion in a final dataset. This screeni...

Grading-labour cost analysis of AI-assisted versus human-only diabetic retinopathy screening in two Danish healthcare settings.

PURPOSE: Diabetic retinopathy (DR) screening is essential to prevent vision loss, yet rising diabetes prevalence threatens to outpace ophthalmology ca...

Machine learning for precision obstetrics: A comprehensive review of risk prediction models for hypertensive disorders and pregnancy-related syndromes.

Gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HDP), preterm birth, and intrauterine growth restriction represent major con...

Glycolysis, Inflammation, and Mitochondrial Dysfunction: New Perspectives on the Pathogenesis of Hypertension.

BACKGROUND: Recent studies show enhanced glycolysis is linked to chronic diseases, but its relationship with hypertension is unclear. This study explo...

Association between stomach pain and depression in middle-aged and older chinese adults: Evidence from CHARLS with machine learning and SHAP analysis.

BACKGROUND: Emerging evidence indicates a bidirectional relationship between gastrointestinal symptoms and psychological distress, yet population-base...

Evaluation of Differential Diagnosis of Odontogenic Lesions in Cone Beam Computed Tomography Images Using Radiomics-Based Machine Learning.

OBJECTIVE: This study aimed to evaluate the structural characteristics of mandibular alveolar bone in patients with Type 1 diabetes mellitus (T1DM), T...