Primary Care

Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. Prediction algorithms have attempted to predict incident AF, but other cardio-renal diseases could also provide targets for earlier intervention. METHOD: We derived a random forest classified for incident AF within 5 years (Future Innovations in Novel...

Identification of obesity risk factors in 3-12-year-old children and adolescents with prior respiratory tract infections via interpretable machine and deep learning models.

BACKGROUNDS AND OBJECTIVES: Childhood obesity and respiratory tract infections (RTIs) are 2 major global public health issues that frequently co-occur and are closely interrelated. Early detection of children with prior RTIs who are at high obesity risk is crucial for targeted interventions. This study integrates interpretable machine learning (ML) models and a deep learning network to develop an ...

A study on risk factors for the progression from T2DM to end-stage renal disease based on Mendelian randomization and logistic regression analysis.

Using two-sample Mendelian randomization (MR) based on GWAS data from the IEU OpenGWAS project and a retrospective clinical cohort, this study investi...

Point-of-care detection for respiratory diseases: From samples and biomarkers to principles and applications.

Early screening can significantly reduce the severe morbidity and mortality of respiratory diseases and alleviate the burden on public healthcare syst...

Machine Learning Classification of Prevalent Chronic Disease Using Multidimensional Social, Behavioral, and Psychological Determinants: A Cross-Sectional Analysis of the 2024 National Health Interview Survey.

BACKGROUND: Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States. While traditional ...

The Clinical Course of Chronic Venous Disease.

OBJECTIVE: The clinical manifestations of chronic venous disease (CVD) range from varicose veins (VV) to, ultimately, venous ulceration, representing ...

Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies.

This scoping review synthesized clinical validation evidence of artificial intelligence (AI) algorithms for diabetes-related foot ulcer (DRFU) detecti...

Clinical-guided deep learning framework for diabetic retinopathy: integrating lesion-aware attention, adversarial augmentation, and uncertainty quantification.

The global prevalence of diabetic retinopathy (DR) is increasing in parallel with the rising burden of diabetes, posing a substantial public health ch...

GERBEHRT: a BERT-based model tailored for German electronic health records - potential in chronic kidney disease prediction.

BACKGROUND: Chronic kidney disease (CKD) is a critical, progressive condition associated with high mortality and substantial healthcare costs. Early d...

Implementing AI-enabled chest X-ray for community-based integrated screening for tuberculosis, chronic respiratory diseases, and cardiovascular diseases in Nigeria.

BACKGROUND: Low- and middle-income countries face a growing dual burden of communicable and non-communicable diseases, while services remain verticall...

EBV status prediction in gastric carcinoma biopsy images using multiple bag instance learning and foundation model in multicenter data.

Epstein-Barr virus associated gastric carcinoma (EBVaGC) represents a distinct molecular subtype of gastric cancer with prognostic and therapeutic sig...

Recent advances in cardiovascular biomarkers: innovations in early detection, risk prediction, and treatment monitoring.

Cardiovascular disease (CVD) is a major source of morbidity and mortality across the globe. Effective screening and risk stratification of patients ca...

Early Adoption of Autonomous Artificial Intelligence Screening for Diabetic Retinopathy After Introduction of Medicare Billing Code 92229.

PURPOSE: Diabetic retinopathy remains a leading cause of blindness in the United States. Autonomous artificial intelligence (AI) systems for screening...

Deep Learning-based Automated Segmentation of Ultra-Widefield Retinal Vasculature for Cardiometabolic Disease Association Analysis.

Retinal vessel analysis in ultra-widefield (UWF) images provides a unique opportunity for large-scale assessment of systemic microvascular health. How...

Deep Learning Estimation of Forced Expiratory Volume in One Second/Forced Vital Capacity and Obstructive Lung Disease Classification From Chest Radiographs With Subgroup Performance Analysis in a North American Cohort: Retrospective Cohort Study.

BACKGROUND: Spirometry is the standard physiological test defining airflow obstruction, the key criterion for diagnosing chronic obstructive pulmonary...

AI in Psychiatry for Improving Continuity of Patient Care: Protocol for a Mixed Methods Systematic Review.

BACKGROUND: Continuity of care is essential in psychiatric services due to the chronic, relapsing nature of mental health conditions, yet care pathway...

Beyond the guidelines: Vascular function as the central determinant and therapeutic target in hypertension.

Hypertension has traditionally been defined and managed according to brachial blood pressure levels. Although this pressure-centric strategy has signi...

Integrative Multi-Omics Analysis Identifies Key Molecular Targets Linking Bisphenol A Exposure to Gestational Diabetes Mellitus.

Bisphenol A (BPA) exposure is associated with gestational diabetes mellitus (GDM); however, the underlying molecular mechanisms remain elusive. This s...

Peukert-Informed Prediction and Screening of Manganese-Based High-Rate Potassium Cathode.

Manganese-based layered oxides have emerged as promising cathode materials for potassium-ion batteries owing to their low cost, environmental benignit...

The FERM guild: a differentially correlated microbial module drives hypertension via metabolic flux perturbations.

UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota composition and function being closely ass...