Primary Care

Analysis of Water Fluoridation Debates on Meta Platforms Using Advanced Machine Learning Approaches.

Social media platforms, such as Facebook and Instagram, play a pivotal role in shaping public opinion on health interventions, including community water fluoridation (CWF). Despite its recognition as a safe and effective public health measure, CWF remains a polarizing topic, with misinformation on these platforms contributing to public mistrust. This study collected 109,117 Facebook and Instagram ...

DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation.

Retinal vascular morphology plays a crucial role in diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of retinal vessels essential for early intervention. Traditional segmentation methods assume that training and testing data share similar distributions, which can lead to poor performance on unseen domains due to domain shifts caused by variations in im...

Advances in high-throughput drug screening based on pharmacotranscriptomics.

BACKGROUND: Drug screening constitutes the predominant paradigm for novel drug discovery. With the development of omics, drug screening has gradually ...

Customizing AI-based screening with real-world data: Practical insights from diabetic retinopathy.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally. Although artificial intelligence (AI)-based scree...

Early prediction of orthodontic gingival enlargement using S100A4: a biomarker-based risk stratification model.

Orthodontic-induced gingival enlargement (OIGE) affects approximately 15-30% of patients undergoing orthodontic treatment and remains largely unpredic...

Three-Dimensional Total Body Photography Enables Automated Obesity-Related Comorbidity Screening in Dermatology.

An economic scenario analysis of implementing artificial intelligence in BreastScreen Norway-Impact on radiologist person-years, costs and effects.

ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision support tool in the Norwegian breast cancer screening pr...

AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.

OBJECTIVES: To evaluate the performance of artificial intelligence (AI)-based models in predicting elevated neonatal insulin levels through fetal hepa...

Utility of Multiclass Machine Learning Algorithms in Predicting Same-Day Discharge Following Primary Total Knee Arthroplasty.

BACKGROUND: Length of stay (LOS) is a substantial driver of costs following primary total knee arthroplasty (TKA), leading to increased efforts target...

Clinical implications of computer-aided real-time size estimation of colorectal polyps during colonoscopy: a prospective study.

Accurate polyp size estimation during colonoscopy is crucial for clinical decision making, follow-up, and implementation of cost-saving strategies. Ob...

Development and Validation of a Machine Learning-Based Risk Prediction Model for Delirium in Older Inpatients: A Prospective Cohort Study.

AIMS: To develop and validate a machine learning-based risk prediction model for delirium in older inpatients. DESIGN: A prospective cohort study. MET...

Optimizing guideline-directed medical therapy in chronic kidney disease and type 2 diabetes mellitus patients in primary care.

BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angiotensin-aldosterone system inhibitors (RAASi's) an...

Prediction of Response to Spinal Cord Stimulation Using Machine Learning Based on Radiomics and Patient-Reported Outcomes.

BACKGROUND AND OBJECTIVES: Chronic pain affects more patients than cancer, diabetes, and heart disease combined, resulting in high morbidity and signi...

Integrative machine learning approach to risk prediction for dementia and Alzheimer's disease.

Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characterized by cognitive decline, behavioral changes, an...

Screening for Barrett Esophagus and Esophageal Adenocarcinoma: Approaches and Outcomes.

Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). The incidence of EAC has risen significantly over ...

Adaptive Graph Prompting Meets Contrastive Learning: A Multi-View Framework for Metabolite-Disease Association Prediction.

Metabolite-disease associations (MDAs) are critical for advancing precision medicine, yet existing computational methods face challenges in data spars...

Clinical Decision Support Systems in Generalist Practice: Utilizing Clinical Decision Support Systems Tools to Improve Clinical Decisions and Patient Outcomes.

Clinical decision support systems (CDSS) can impact clinical care through improved care processes and improved patient outcomes. For the generalist, C...

Machine Learning in Venous Thromboembolism-Why and What Next?

Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, despite advances in imaging and anticoagulation. VTE a...

Proteomic signature of dementia risk in type 2 diabetes.

INTRODUCTION: Type 2 diabetes (T2D) significantly increases dementia risk, yet the molecular mechanisms underlying this association remain unclear. OB...

When Health Behavior Meets Technology: Artificial Neural Network-Based Prediction of Breast Self-Examination Intentions Among Filipino Female College Students.

Early detection of breast cancer is crucial, particularly in low-resource settings. Emerging technologies like artificial neural networks (ANNs) offer...