Latest AI and machine learning research in health policy for healthcare professionals.
OBJECTIVE: To reveal the intellectual framework, research trends, and gaps, and evaluate effective health literacy tools in the field of primary healthcare services. DESIGN: Observational, machine learning-based bibliometric study. SITE: Analysis was conducted using records indexed in the Web of Science database. PARTICIPANTS: A total of 1869 researchers from 823 institutions across 54 countries c...
IMPORTANCE: The potential of tools using artificial intelligence (AI) to address the many challenges in delivery of mental health care has been widely discussed. However, the possible negative consequences of AI for such care have received less attention. OBSERVATIONS: Integrating AI with mental health care has the potential to expand access and improve quality of care. It may also contribute to i...
PURPOSE: To develop and evaluate short-TR acquisition time-of-flight (STRA-TOF) MR angiography (MRA), which combines an optimized STRA with deep learn...
BACKGROUND: Global inequities in access to cancer diagnostics and treatment contribute to wide variation in cancer mortality-to-incidence ratios (MIRs...
Positron Emission Tomography (PET) is important for breast cancer diagnosis and monitoring, but high costs restrict access. Dual-panel scanners can re...
BACKGROUND: Given the potential of artificial intelligence (AI) and the increasing importance of understanding AI's economic impact, this study aims t...
Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory performance to population benefit remains limited....
Understanding water quality in the deeper layers of stratified lakes is critical, as these zones govern ecosystem stability and biodiversity health. T...
Biomedical review articles are important for education, evidence synthesis, and clinical decision-making. Large language models such as ChatGPT may co...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), but its high cost and radiation exposure limit its u...
The Highway Performance Monitoring System, managed by the Federal Highway Administration, provides data on average annual daily traffic volume across ...
OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures using CT, and estimate the change in in-hospital co...
BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause of disability worldwide. Among the various contribu...
Inline, non - destructive diagnostics are essential for controlling electrode quality in roll - to - roll battery manufacturing to minimise the cost a...
Deep learning has transformed protein structure prediction, yet most state-of-the-art models remain challenging for experimental scientists to access....
In abdominal CT imaging, optimizing the balance between radiation dose and image quality is crucial, and the primary prerequisite is accurate image qu...
OBJECTIVE: To develop and evaluate an automated system for identifying healthcare barriers focusing on transportation issues in veterans' clinical not...
A 2024 conference titled "Early Intervention in Psychosis: Systems & Communities of Care" brought together researchers, clinicians, policy experts, an...
Access to eye care remains a global health priority, particularly for underserved populations in rural, Indigenous, and low-income communities. Despit...
Despite high prevalence rates of pediatric mental health challenges, estimates suggest over 50% of youth with mental health conditions have never acce...