Public Health & Policy

Health Policy

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

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Tracing place and health over Time: Advancing longitudinal approaches in geospatial health applications.

Our special issue on "Longitudinal Analysis in Geospatial Health Applications" highlights major adva...

Dense breasts and women's health: which screenings are essential?

This review synthesizes current evidence regarding optimal breast cancer screening strategies for wo...

Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models.

Accurate forecasting of diabetes burden is essential for healthcare planning, resource allocation, a...

The Quality of Information Produced by ChatGPT About Conditions Managed by Interventional Radiologists.

INTRODUCTION: The emergence of search engines powered by artificial intelligence and large language ...

Application of Artificial Intelligence in Bone Quality and Quantity Assessment for Dental Implant Planning: A Scoping Review.

OBJECTIVES: To assess how artificial intelligence (AI) models perform in evaluating bone quality and...

A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems.

Effective financial risk management in healthcare systems requires intelligent decision-making that ...

Health Care Professionals' Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review.

BACKGROUND: Generative artificial intelligence (GenAI) leverages large language models (LLMs) that a...

Ethical Challenges to the Adoption of AI in Healthcare: A Review.

There are few comprehensive summaries of the ethical challenges associated with the adoption of arti...

Data quality in crowdsourcing and spamming behavior detection.

As crowdsourcing emerges as an efficient and cost-effective method for obtaining labels for machine ...

Deep Learning for Hyperpolarized NMR of Intrinsically Disordered Proteins Without Resolution Loss: Access to Short-Lived Intermediates.

The inherently low sensitivity of solution-state Nuclear Magnetic Resonance (NMR) has long limited i...

Adenovirus Burden in Allogeneic Hematopoietic Stem Cell Transplantation: Monitoring Versus Symptoms-Based Testing-A Cost-Effectiveness Analysis.

BACKGROUND: Adenovirus infection (AdVi) causes significant morbidity and mortality in allogeneic hem...

Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to it...

Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches.

This study used data from a large dam site to model changes in groundwater quality variables. Severa...

Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households.

BACKGROUND: Despite the National Health Insurance (NHI) system implemented in South Korea, concerns ...

From innovation to implementation: strengthening anterior ocular inflammatory surface diseases diagnostics through global health policy.

PURPOSE OF REVIEW: Dry eye disease (DED), allergic conjunctivitis (AC), and infectious conjunctiviti...

Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping.

This research introduces a practical and innovative approach for real-time air quality assessment an...

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous im...

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