Primary Care

Glucose forecasting and hypoglycemia forewarning in type 1 and type 2 diabetes using deep learning.

Hypoglycemia is a major barrier to safe diabetes management. Although deep learning has been widely ...

Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: the GEMINI study.

Artificial intelligence (AI) tools can improve breast screening performance but different screening ...

Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies.

Artificial intelligence (AI) promises to enhance breast cancer screening. Here we evaluated Google's...

Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states.

BACKGROUND: Obesity is a major health concern linked to chronic conditions such as diabetes and card...

Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.

BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a hig...

Automated Classification of Mitral and Tricuspid Regurgitation With Explainability and Real-World Practice Experience.

BACKGROUND: Mitral regurgitation and tricuspid regurgitation frequently coexist and are evaluated us...

Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation.

BACKGROUND: Stroke remains one of the leading causes of mortality and long-term disability worldwide...

Clinical implementation of AI for vertebral fracture detection in CT aligned with fracture liaison services: high prevalence of undiagnosed vertebral fractures.

UNLABELLED: We assessed feasibility and effectiveness of AI-based VF screening in CT, integrated wit...

AI-Based Screening for At-Risk MASLD and Advanced Fibrosis in the US Population: A Cost-Effectiveness Analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent and...

Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.

BACKGROUND: Multimorbidity has become a major global public health challenge. However, existing rese...

Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis.

BACKGROUND: Diabetes is a chronic condition requiring long-term management, and continuous health ed...

Valorizing food waste to wellness: conventional vs. green extraction of food by-products.

Food waste is a growing global concern due to the loss of essential nutrients and associated environ...

Personalised health plan development using agentic AI in Singapore's national preventive care programme: a pilot study.

The workforce shortages caused by aging populations demand a transition from reactive to preventive ...

Logistics equipment condition monitoring and prediction based on digital twin and machine learning.

The use of digital twins is becoming a foundation for automation that will improve how industries ha...

Interpretable machine learning based decision tree model for predicting obstructive airway disease in a large non-smoking health screening population.

Comprehensive evaluation of triglyceride glucose index-a body shape index (TyG-ABSI) for incident peripheral artery disease: data-driven phenotyping and machine learning-based risk prediction in the UK Biobank.

BACKGROUND: The prevalence of Peripheral Artery Disease (PAD) is rising globally, yet early risk str...

Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.

AIMS: Despite the proven efficacy of GLP-1 receptor agonists (GLP-1 RAs), many patients with type 2 ...

The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.

INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic...

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multi-Omic Analysis: Insights into Cardiovascular and Renal Complications.

BACKGROUND: Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardi...

AI-Enabled Personalization of Semaglutide Therapy in Type 2 Diabetes: Systematic Review With an Integration Framework.

BACKGROUND: Type 2 diabetes mellitus (T2D) is a rapidly growing global health concern requiring inno...

An Accurate Glucose Detection Platform Using Colorimetry and Supervised Learning Algorithms.

Maintaining optimal health and preventing diabetes-related complications require accurate and timely...