Health Policy

Barriers to AI-supported health management among older adults with chronic orthopedic conditions in China: implications for healthcare delivery and access.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in chronic disease management, yet its adoption among older adults with chronic orthopedic conditions remains limited and poorly understood in China. METHODS: A qualitative study using semi-structured interviews was conducted with 13 older adults recruited from two tertiary hospitals in Beijing and Harbin. Thematic analysis was perfo...

An explainable artificial intelligence framework for clinical decision support in stroke discharge planning.

BACKGROUND: Stroke, a leading cause of global mortality and disability, requires accurate prediction of discharge outcomes to support early care planning. We developed an explainable artificial intelligence (AI) framework to predict four discharge categories (home, specialized care, home with help, expired) and identify key predictors. METHODS: This single-center retrospective study included 1,731...

Quality, completeness, readability, and response time of AI chatbots in the management of deep caries and pulp exposure: a bilingual comparative study.

BACKGROUND: Artificial intelligence (AI) chatbots are being increasingly used to obtain health-related information; however, the quality, completeness...

Optimizing stroke mortality prediction: a comparative study of sampling, cost-sensitive learning, and threshold adjustment.

BACKGROUND: Stroke is a leading cause of mortality and disability worldwide, creating a critical need for accurate prediction tools to support early c...

Embracing Digital as a Paradigm Shift in Medical Affairs.

Digital transformation is increasingly shaping how the Medical Affairs (MA) function generates insights, engages stakeholders, and demonstrates value ...

Frontline Health Workers' Perspectives of the World Health Organization Skin Neglected Tropical Diseases App in Kenya: Qualitative Study on AI-Embedded mHealth Implementation.

BACKGROUND: Skin neglected tropical diseases (NTDs) pose significant diagnostic and management challenges in resource-limited settings due to constrai...

Predicting Patient-Reported Outcome Measures, Satisfaction, Healthcare Utilization, Mortality, and Return to Work After Total Knee Arthroplasty Using Machine Learning: A 14,900-Patient Study.

BACKGROUND: Patient-reported outcome measures and healthcare utilization metrics are increasingly used to evaluate the success of total knee arthropla...

Qualitative investigation into the rural and coastal workforce for allied health professional leaders in England.

BACKGROUND: Allied Health Professional (AHP) services in England assess, diagnose, treat and rehabilitate patients across a wide range of health and c...

Predicting nurses' behavioral intention to adopt artificial intelligence in a resource-limited setting: an extended technology acceptance model study in Iran.

BACKGROUND: The integration of Artificial Intelligence (AI) into healthcare systems has the potential to substantially enhance clinical decision-makin...

Implications for Access to Chiropractic Services in the Workers' Compensation System: A State-by-State Coverage Policy Comparison.

BACKGROUND: Chiropractic services are well-aligned with the goals of workers' compensation (WC) coverage in returning patients to work timely, safely,...

Medical Affairs in the Age of Complexity: From Scientific Support to Strategic Enterprise Integrator.

Regulatory acceleration, expanded reliance on real-world evidence (RWE), and increasing integration of artificial intelligence (AI) into healthcare sy...

AI-Assisted Chest X-Ray Interpretation in Resource-Limited Settings: LuAna Stepped-Wedge Trial Protocol.

BACKGROUND: Artificial intelligence (AI) has the potential to transform chest radiography interpretation by enhancing diagnostic accuracy, identifying...

The Role of Artificial Intelligence in Addressing Menopausal Mental Health Challenges.

Menopause marks a crucial transition in a woman's life and is often accompanied by physical and psychological changes that can adversely affect mental...

Dynamic cost prediction of power technical transformation projects based on graph neural networks and multi-scale attention mechanisms.

Accurate cost prediction for power technical transformation (PTT) projects is central to capital budgeting and investment decisions, yet conventional ...

Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of the standard care given due to minimal invasive deco...

Performance evaluation of SFP models using ML/DL and feature selection via cost evaluation framework.

The increasing complexity of software systems (SW) makes fault prevention challenging. Although significant amount of research has explored Software F...

Hybrid variational quantum-classical data assimilation for numerical weather prediction using Lorenz system benchmarks.

The major computational bottleneck of operational Numerical Weather Prediction (NWP) is data assimilation, in which a high-dimensional, prohibitively ...

Who Is Responsible When AI Gets Cancer Information Wrong? Implications for Patient Education.

Generative artificial intelligence (AI) tools are increasingly being used by patients seeking cancer-related information, creating new opportunities f...

Green radiology (part 1): environmental sustainability and energy consumption in medical imaging, with perspectives from Japan.

Climate change is an important public health challenge, and healthcare itself contributes to greenhouse gas emissions. Within healthcare, radiology is...

Large Language Model-Assisted Annotation Framework for Cross-Platform Analysis of Online Autism Communities: Implications for Parent Education and Digital Support.

BACKGROUND: Online health communities (OHCs) are important channels for families of children with autism spectrum disorder to obtain health informatio...