Public Health & Policy

Spatiotemporal co-occurrence patterns and related risk factors of esophageal and lip and oral cavity cancers among older adults across 203 countries and territories: a machine learning-driven systematic analysis.

BACKGROUND: The country-level co-burden of esophageal cancer and lip and oral cavity cancer (LOC) am...

Deep learning survival analysis with time-varying covariates: extending PyCox to assess COVID-19 antiviral treatments and long-COVID associations.

OBJECTIVES: To extend the PyCox to accommodate time-varying covariates using counting process data, ...

How Do GenAI Chatbots Communicate Fluoride Information? A Readability and Negative Framing Analysis.

INTRODUCTION: As generative artificial intelligence (GenAI) chatbots increasingly mediate online hea...

Hidden in Plain Sight: Vector Embeddings give away Demographic Information.

Foundation models are widely used for compressing complex data into vector embeddings (vembs), offer...

Digital Predictive Technologies for Fall Risk Assessment, Prediction, and Prevention in Long-Term Care: A Scoping Review.

OBJECTIVES: This scoping review aimed to map the available evidence on digital predictive technologi...

Roles for AI in Implementation of Medicaid Work Requirements.

AI Cautionary Guide: Pitfalls and Strategies for the Use of Machine Learning in Medical Research.

Machine learning (ML) is increasingly utilized in medical research. However, underrecognized methodo...

Predicting Insecticide-Treated Net Use Among Under-Five Children in Tanzania Using Machine Learning: Evidence From the 2022 Tanzania DHS.

BACKGROUND: Malaria remains a leading cause of morbidity and mortality in sub-Saharan Africa, dispro...

Socioeconomic determinants of malaria in Ugandan children: An interpretable machine learning approach for public health policy.

Malaria remains a critical global health crisis, placing a disproportionate burden on children under...

PI-QUAL in Clinical Practice: Rationale and a Step-by-Step Approach to Implementation.

Prostate MRI has become integral to prostate cancer diagnosis and management, extending beyond prebi...

User Engagement and Feature Preferences in an AI-Powered mHealth Intervention for Diabetes Prevention: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions rem...

The future of precision oncology and artificial intelligence in Belgium: scenarios and policy responses.

PURPOSE: Precision medicine, also known as personalized medicine, enables the provision of tailored ...

[Research progress on tertiary lymphoid structures in chronic rhinosinusitis and nasopharyngeal carcinoma].

Tertiary lymphoid structures（TLSs）are acpuired lymphoid aggregates in non-lymphoid tissues and play ...

The Rise of Regulatogens: A Crisis of Insouciance and Dilettantism in the Regulatory DART World-And How We Must Fix It.

Developmental and reproductive toxicity testing (DART) safety tests are expensive and time-consuming...

The promise and peril of AI for disability health equity: A justice-centered narrative review.

Despite the promising potential of Artificial Intelligence (AI) models to enhance health equities fo...

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healt...

Practical guide to structuring the Discussion section in clinical and epidemiological studies.

This is the last of three articles that provide step-by-step guides on how to structure the content ...

Dedicated Endoscopy for Barrett's Oesophagus With Higher Dysplasia Yield May Reduce Seattle Protocol Biopsies: Results From UK Multicentre Study.

BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than ...

Monitoring and improving the effectiveness of cleaning medical and surgical devices: A practical verification framework.

BACKGROUND: Cleaning is the foundational step in medical device reprocessing; residual soil and biof...

Harnessing Artificial Intelligence to Strengthen Acute and Critical Care Nursing Practice: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) is reshaping clinical decision support systems (CDSSs). In ...

Who is responsible? A risk-stratified framework for pharmacist accountability in artificial intelligence-assisted managed care.

Artificial intelligence (AI)-enabled tools are increasingly integrated into managed care pharmacy wo...