Health Policy

Predicting the impact of climate warming on soil quality using bacteria and machine learning.

In the context of global warming, a substantial portion of global soil is in a state of degradation, which poses a significant threat to biodiversity and food production worldwide. Moreover, monitoring soil quality typically requires measuring numerous physical, chemical, and biological indicators, resulting in high costs. In this study, 286 soil samples were obtained from the climate-sensitive Ti...

Carbon co-benefits of digital economy and green finance: empirical evidence from China.

Addressing the carbon co-benefits of policy tools requires simultaneous improvements in both the quantity and quality of carbon abatement to achieve long-term sustainability and equity. Driven by digital technologies and bolstered by green capital, the combination of the digital economy and green finance (DEGF) establishes an effective mechanism for attaining sustainable development goals. Treatin...

Diabetic retinopathy in rural communities: a review of barriers to access of care and potential solutions.

INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 million Americans diagnosed with DM, the disease exe...

Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision.

Environmental health studies commonly rely on urban composition measures for built environment exposure assessment. However, quality measures are equa...

A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource distribution, but its real-world implementation r...

The Automatable Activity-Based Approach to Complexity Unit Scoring as a task-specific model approach to monetizing outcomes of pathology artificial intelligence solutions.

BACKGROUND: Cost-containment policies are increasingly affecting decision-making in healthcare. In this context, the need for monetization of digital ...

Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan.

Groundwater quality monitoring is crucial for protecting the environment and human health. Machine learning (ML) offers substantial potential for enha...

Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification.

Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in a single reaction. However, its use is often limit...

Health consumers' use and perceptions of health information from generative artificial intelligence chatbots: A scoping review.

Background Health consumers can use generative artificial intelligence (GenAI) chatbots to seek health information. As GenAI chatbots continue to impr...

Predicting quality measure completion among 14 million low-income patients enrolled in medicaid.

Low-income populations have disproportionately low completion of recommended healthcare services, from missed vaccinations to cancer screenings. While...

Quality assessment of large language models' output in maternal health.

Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Countries. The safe and responsible deployment of La...

A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment.

Internet of Health Things (IoHT) plays a vital role in everyday routine by giving electronic healthcare services and the ability to improve patient ca...

Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm.

In the human body, the skin is the main organ. Nearly 30-70% of individuals globally have skin-related health issues, for whom efficient and effective...

DeepLASD countermeasure for logical access audio spoofing.

Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofing through sophisticated voice conversion (VC) and...

Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.

Large language models (LLMs) can potentially enhance the accessibility and quality of medical information. This study evaluates the reliability and qu...

An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Effective inpatient bed management is critical for optimizing healthcare resource utilization and ensuring high-quality patient care. The growing imba...

Method for Predict Stenosis of Arteriovenous Fistula Patients Based on Machine Learning.

OBJECTIVES: Arteriovenous fistula (AVF) is the most ideal vascular access for hemodialysis. People with AVF have a longer vascular access survival rat...

Journal of Global Health's Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP): preventing 'paper mills', duplicate publications, misuse of statistical inference, and inappropriate use of artificial intelligence.

In recent years, global accessibility to large 'big data' repositories that enable 'open research' - such as the UK Biobank, National Health and Nutri...

Does China's green credit interest subsidies policy promote enterprises' green technology innovation quality? Based on the perspective of financial and fiscal coordination.

Against the backdrop of escalating energy and environmental challenges, examining how the green credit policy empowers enterprises to build external p...

Increasing Rigour in Online Health Surveys Through the Reduction of Fraudulent Data.

Online surveys have become a key tool of modern health research, offering a fast, cost-effective, and convenient means of data collection. It enables ...