Latest AI and machine learning research in health policy for healthcare professionals.
IMPORTANCE: The potential of tools using artificial intelligence (AI) to address the many challenges...
PURPOSE: To develop and evaluate short-TR acquisition time-of-flight (STRA-TOF) MR angiography (MRA)...
BACKGROUND: Global inequities in access to cancer diagnostics and treatment contribute to wide varia...
Positron Emission Tomography (PET) is important for breast cancer diagnosis and monitoring, but high...
BACKGROUND: Given the potential of artificial intelligence (AI) and the increasing importance of und...
Understanding water quality in the deeper layers of stratified lakes is critical, as these zones gov...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), bu...
The Highway Performance Monitoring System, managed by the Federal Highway Administration, provides d...
OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures u...
BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause o...
Deep learning has transformed protein structure prediction, yet most state-of-the-art models remain ...
In abdominal CT imaging, optimizing the balance between radiation dose and image quality is crucial,...
OBJECTIVE: To develop and evaluate an automated system for identifying healthcare barriers focusing ...
Access to eye care remains a global health priority, particularly for underserved populations in rur...
Despite high prevalence rates of pediatric mental health challenges, estimates suggest over 50% of y...
Hydrogen is recognized as an environmentally sustainable energy source. Lignocellulosic biomass (LB)...
Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery ...
Poor sleep quality amplifies pain experience. However, it remains uncertain regarding whether subjec...
OBJECTIVES: This study aimed to assess the current utilization of artificial intelligence (AI) tools...
Reducing the material cost of inorganic solid-state electrolytes is crucial to advancing all-solid-s...
BACKGROUND: The rise of digital health data has expanded opportunities for data-driven innovation, y...