Latest AI and machine learning research in us health policy for healthcare professionals.
The shortage of healthcare professionals increasingly challenges the provision of care for institutionalised older adults. This study investigates healthcare professionals' expectations regarding the added value of social robots in daily care, as their perspective is adamant for implementation of these robots but not yet fully investigated. Two consecutive focus group sessions were conducted acros...
Water-scarce cities undergoing rapid urbanization must sustain economic growth while complying with stringent water-resource and environmental constraints. However, long-term policy simulations are often affected by uncertainty in exogenous drivers, particularly population dynamics. This study develops an AI-enhanced system dynamics (SD) framework that couples a BP neural-network ensemble forecast...
Establishing an artificial intelligence (AI) infrastructure is contingent upon processes being conducted within structured regulatory frameworks that ...
BACKGROUND: Investments in health artificial intelligence (AI) are accelerating across European Union member states, yet evidence linking national AI ...
AimTo evaluate and compare the performance of five artificial intelligence (AI) chatbots-ChatGPT (OpenAI 4), Google Gemini, Grok (xAI), DeepSeek, and ...
IMPORTANCE: Early detection of risk of heart failure with reduced ejection fraction remains challenging in resource-limited settings due to limited ac...
OBJECTIVES: To develop a random survival forest (RSF) machine learning (ML) model for predicting venous thromboembolism (VTE) risk in rheumatoid arthr...
BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Our health system implemented an AAA surveillance pr...
IMPORTANCE: AI technologies increasingly influence dental education, but their instructional value, stakeholder perspectives, and institutional implic...
Polygenic risk scores (PRS) have emerged as important tools for quantifying inherited susceptibility to cancer, and are increasingly combined with env...
Touch is a foundational sensory modality in early development, playing a pivotal role in shaping social, emotional, and cognitive functions. This stud...
RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Transrectal ultrasound (TRUS)-visible lesions using sub...
BACKGROUND: Left ventricular filling pressure is associated with heart failure symptoms and a key prognostic marker and therapeutic target, but a scal...
BACKGROUND: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial e...
Policy texts serve as the carriers of policy content and hold unique value in the research of policy differences, policy diffusion, and inter-governme...
This study examines how different types of host-guest interaction relate to tourists' value co-creation intention in urban tourism and whether artific...
OBJECTIVE: To critically evaluate advances in artificial intelligence (AI) within rhinology, focusing on translational readiness, regulatory alignment...
OBJECTIVE: Phase II of MVP-CHAMPION, a federal collaboration between the Veterans Affairs Healthcare System (VA) and the Department of Energy (DoE), l...
BACKGROUND: Victims of child physical abuse (CPA) disproportionately use the emergency department, yet identifying CPA remains challenging in this set...
RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic ...