Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Showing 801-820 of 11,066 articles

Optimizing Timeliness of Healthcare Delivery in Diagnostic Radiology at U.S. Academic Centers.

RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic health centers face distinctive pressures, including workforce shortages, complex workflows, health inequities, and the need to balance trainee education with increasing clinical demand. MATERIALS AND METHODS: This article summarizes consensus conclu...

Apr 23 2026 42031598

Predicting challenges and opportunities in improving snakebite envenoming management in Ghana.

BACKGROUND: Snakebite envenoming (SBE) is a neglected tropical disease and a major public health crisis in Africa. We integrated a maximum difference experimental design and machine learning (ML) models to predict challenges and opportunities for improving SBE management in Ghana. METHODS: This cross-sectional study included 137 healthcare workers, identified through multistage sampling, from Augu...

Apr 23 2026 42024496
Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer.

BACKGROUND: Intracranial metastatic disease is a severe complication of cancer that confers substantial morbidity and mortality. Patients with breast ...

Apr 23 2026 42026134
Using tree-based ensemble methods to produce a population-based mortality risk score in Ontario, Canada.

INTRODUCTION: Risk adjustment is critical in observational epidemiology to control for confounding of the exposure-outcome relationship. Accurate pred...

Apr 23 2026 42024662
Integration of AHRR methylation, heavy metals, and clinical characteristics for urothelial carcinoma risk stratification: An explainable artificial intelligence approach.

The short metabolic half-life of conventional tobacco biomarkers often limits their ability to reflect cumulative toxicological damage, which may comp...

Apr 22 2026 42031200
Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI.

The aeromedical certification of commercial airline pilots relies on periodic, self-disclosure-dependent assessments. However, this reactive model lac...

Apr 22 2026 42179459
Artificial Intelligence in Occupational Health Surveillance: Evaluating AI-Assisted ILO Classification of Radiographs of Pneumoconioses.

BACKGROUND: Pneumoconioses remain an important occupational health issue, particularly in low- and middle-income countries. The International Labour O...

Apr 22 2026 42021753
Wearable Cardiac Devices as Windows Into Physiological Decline: A Review of Digital Biomarkers in the Prevention, Detection, and Management of Cardiogeriatric Frailty.

In patients with cardiovascular disease (CVD), frailty is a significant problem due to its association with morbidity and mortality, procedural risk, ...

Apr 22 2026 42025487
Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study.

OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artificial intelligence (AI) agent, implemented within a...

Apr 22 2026 42020095
Integrating theory and machine learning to reveal determinants of plasmid copy number.

Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence microbial evolution, antibiotic resistance and pa...

Apr 22 2026 42020421
Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein structure, and public health action. This review ...

Apr 21 2026 42035616
From risk to resilience: A narrative review on strengthening veterinary clinical biosecurity to prevent healthcare-associated infections.

Veterinary clinical biosecurity is key to preventing infectious diseases in animal clinics, particularly when there is high patient turnover, a mix of...

Apr 21 2026 42025907
Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generati...

Apr 21 2026 42011874
[Prevention in Gastroenterology].

Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colorectal cancer screening. As a specialty of systemic ...

Apr 21 2026 42013868
Artificial intelligence for monitoring hand hygiene compliance in healthcare settings: A scoping review.

BACKGROUND: Hand hygiene is a fundamental measure for preventing healthcare-associated infections, yet traditional monitoring methods are significantl...

Apr 21 2026 42013060
When evidence meets artificial intelligence.

Evidence-based medicine (EBM) integrates clinical expertise, patient values, and best available research evidence, yet classical trial-based approache...

Apr 20 2026 42058448
The future of follow-up: technology-enabled medical and developmental follow-up care for NICU graduates.

Premature infants are at higher risk of long-term clinical and developmental sequelae compared to their term counterparts. Specialized, multidisciplin...

Apr 20 2026 42009892
Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, including those undergoing surgery for femoral nec...

Apr 20 2026 42012033
Artificial Intelligence for Public Health Surveillance: Promise, Inequities, and the Need for Transparent Global Adoption.

Artificial intelligence (AI) has demonstrated a strong technical potential to enhance public health surveillance, but routine implementation remains l...

Apr 20 2026 42012825
Step Counts and Stepping Intensity Among U.S. Adults: National Health and Nutrition Examination Survey 2011-2014.

OBJECTIVES: To characterize stepping in a nationally representative sample of U.S. adults by age, sex, and race and ethnicity. METHODS: Step counts ar...

Apr 20 2026 42002910
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