Latest AI and machine learning research in health policy for healthcare professionals.
With the advent of the post-materialist and post-industrialization era, quality of place has gradually become a hotspot of urban research. But the research has mainly focused on the city or national scale, and there is a lack of exploration on the small scale within the city. In this paper, we take neighborhoods as the research scale, design a neighborhood quality assessment system that can measur...
AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use of digital health technologies in clinical maternity care. BACKGROUND: Although digital health technologies are rapidly transforming maternity care, there is limited understanding of how midwives experience both the benefits and challenges of these tools in real-world maternity care. METHODS: Eight m...
Low-field magnetic resonance imaging (LF-MRI) has emerged as a transformative technology, offering portable and cost-effective solutions for medical i...
INTRODUCTION: ChatGPT is a cost-effective artificial intelligence (AI) tool designed to facilitate virtual interactions with humans, and its applicati...
BACKGROUND: As dietitians actively engage in sectors beyond healthcare, practitioners are expected to uphold ethical standards that reflect both indiv...
IMPORTANCE: Pelvic floor disorders (PFDs) affect a growing number of women, who often avoid seeking medical attention. The emergence of digital techno...
BACKGROUND: The eligibility framework for the Medicare Medication Therapy Management (MTM) program has been associated with a lower likelihood of meet...
Racial disparities in healthcare expenditures are well-documented, yet the underlying drivers remain complex. This study develops a framework to decom...
Dietary intake data are essential for understanding diet-disease relationships, informing policy, and evaluating nutrition interventions. This is part...
BACKGROUND: The integration of artificial intelligence (AI) and care robots into healthcare raises a central ethical question: what constitutes care, ...
PROBLEM: Traditional epidemiological surveillance methods are often limited by delays in reporting and fragmented data systems. Saudi Arabia faces add...
This study aimed to identify independent predictors of quality of life in patients with multiple sclerosis (MS) using machine learning approaches. One...
OBJECTIVES: Chat Generative Pretrained Transformer (ChatGPT) is a widely adopted tool that can provide immediate parenting guidance. The aim of this s...
This study examines how corpus-grounded artificial intelligence (AI) can strengthen Spanish reproductive health communication capacity within China's ...
BACKGROUND: The issue of population aging has emerged as a critical global challenge, driving the imperative for effective self-care and scalable heal...
Most artificial intelligence (AI) governance frameworks in healthcare address model development, reporting standards, or regulation in broad terms, bu...
BACKGROUND: Head and neck cancer (HNC) is a common malignant tumor, and its treatment often leads to functional impairments in speech, swallowing, and...
OBJECTIVE: Rural hospital closures in the U.S. reduce access to essential healthcare services and worsen health and economic outcomes in rural communi...
BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations off...
The prediction and optimization of distribution network asset costs is a complex problem in the power industry, involving the optimization of multiple...