Health Policy

Calibration Model for Purple Air monitored PM2.5 across the United States.

Accurate monitoring of PM2.5 is vital for understanding air quality and public health impacts. Purple Air sensors (PA) have filled in PM2.5 gaps spatially and temporarily, and are popular for their low cost and real-time monitoring capabilities, but are often questioned for their accuracy. Analysis revealed that PA sensors exhibit systematic biases in PM2.5 measurements, with discrepancies influen...

Healthcare access inequalities in Quilombola rural and riverside communities in the Brazilian Amazon: Associations with social, organizational, and territorial factors.

BACKGROUND: Equitable access to healthcare services is a core principle of Brazil's Unified Health System and remains a persistent challenge in territories marked by social and geographic inequalities, such as the Brazilian Amazon. In this region, vast distances, logistical barriers, and socioeconomic disparities converge to limit the effectiveness of public health policies. OBJECTIVE: The present...

Leveraging Artificial Intelligence and Natural Language Processing in Legal Epidemiology Studies: Opportunities and Challenges.

Legal epidemiology - the study of how laws influence health outcomes - is an emerging field with potential to inform policy and improve public health....

Global observational analysis of the Quality of Care Index (QCI) for protein-energy malnutrition from 1990 to 2021.

Protein-energy malnutrition (PEM) remains a critical global health challenge, and the quality of care for PEM remains a key focus in the current publi...

Mortality prediction of road traffic crash with artificial intelligence: a systematic review.

BACKGROUND: Road traffic crashes cause substantial global mortality and disability. Conventional injury severity scores may not fully capture the comp...

Barriers, adoption patterns, and determinants of artificial intelligence use among health sciences students in Palestine.

Artificial intelligence (AI) is increasingly integrated into healthcare education worldwide, yet disparities in access, training, and institutional re...

Association between AI-driven conversational agents and physician-patient interaction quality during outpatient consultations: A propensity score matching study in China.

OBJECTIVES: This study aimed to use a propensity score matching (PSM) design to examine the association between artificial intelligence (AI)-driven co...

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 ...

[Web-based translation software in clinical practice : A survey in a German university hospital including a data protection and liability perspective].

BACKGROUND: Language barriers are an obstacle in everyday clinical practice. Webbased translation software can offer a low-barrier solution. This stud...

Predicting water quality and water treatment operations under future climate scenarios using machine learning models.

Climate change is altering the water quality through changes in temperature, rainfall patterns, and weather events. Predicting future water quality be...

Determining groundwater quality and its associated human health risk using hydrochemical signatures and some machine learning techniques.

Groundwater is a major source of domestic water in coastal Ghana, but its quality is increasingly threatened by salinisation, nutrient enrichment, geo...

Exploring Women's Perspectives on Receiving AI-Enabled Digital Support for Infant Feeding: Multimethods Cross-Sectional Study.

BACKGROUND: Infant feeding practices, including breastfeeding, are known to benefit maternal and child health outcomes. Therefore, parent access to ev...

Implementation and Evaluation of an AI-Assisted Telerehabilitation System for Postdischarge Continuation of Rehabilitative Care: Protocol for a Randomized Controlled Trial.

BACKGROUND: The World Health Organization (WHO) launched a Rehabilitation 2030 initiative to call for global action to scale up rehabilitation efforts...

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.

BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...

Between the hype and harm: does artificial intelligence in health offer solace or further exclusion for marginalised populations in Sub-Saharan Africa? A scoping review.

Artificial intelligence (AI) is increasingly being integrated into healthcare systems and has the potential to improve health outcomes. In Sub-Saharan...

Addressing the Global Disparities in Access to Treatment in Spinal Muscular Atrophy.

The advent of novel disease-modifying therapeutics for spinal muscular atrophy (SMA) increased life expectancy with better motor function and potentia...

Mapping the literature on improving primary-to-secondary care referrals through the lens of the Quintuple Aim framework for healthcare improvement: a scoping review.

OBJECTIVES: To explore and map the literature on referral pathway gaps and improvement strategies in primary healthcare (PHC) to secondary healthcare ...

Perceptions of Artificial Intelligence in Gynecologic Oncology Education: Insights from a Qualitative Study Using Semi-Structured Interviews.

Training in gynecologic oncology requires mastery of complex decision making and technically demanding procedures, yet opportunities for repetitive pr...

Delay and Attrition in Severe Aortic Stenosis: A Four-Checkpoint Systematic Review of Pathway Bottlenecks and Interventions.

The care pathway for severe aortic stenosis (AS) remains vulnerable to diagnostic delay, referral inertia, undertreatment, and procedural waiting time...

Curating and sharing XAS data - Metadata and Scientific quality control.

With the growing volume of measured X-ray Absorption Spectroscopy (XAS) data and their need for machine-learning and reference purposes across differe...