Latest AI and machine learning research in health policy for healthcare professionals.
Ground-level ozone (O3) remains a pervasive secondary air pollutant of public health concern, particularly in regions with complex emission profiles and limited monitoring infrastructure. This study investigated the hyperlocal spatial variability of ambient O3 in the Greater Springfield area, Massachusetts using a calibrated network of 13 metal oxide semiconductor-based low-cost sensors (LCS). A m...
Early identification of children at risk for persistent asthma is challenging because preschool respiratory symptoms are heterogeneous and often overlap with transient wheezing illnesses. Machine learning-based prediction models may improve risk stratification, but few have been integrated into electronic health record (EHR) systems or evaluated for their effect on clinician decision-making. We ev...
Green fish farming represents an integrated aquaculture approach that rears aquatic organisms in controlled environments to improve production efficie...
BACKGROUND: Egypt's health financing is characterised by persistently high out-of-pocket (OOP) payments exceeding 50% of total health expenditure and ...
OBJECTIVES: To assess the economic impact of Artificial Intelligence (AI)-assisted stress echocardiography (SE) in the National Health Service (NHS) d...
AIMS: To validate behavioural subtypes among young and middle-aged hypertensive patients using latent class analysis (LCA) and assess their generaliza...
BACKGROUND: Online health information seeking (OHIS) has become a central component of chronic disease management within an increasingly interactive, ...
BACKGROUND: Most patients in Britain undergoing medical abortion under 10 weeks' gestation manage the entire process at home, with access to clinical ...
INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly regarding its effectiveness and cost-effectiveness i...
The convergence of artificial intelligence (AI), blockchain technology, and health care represents one of the most transformative yet technically chal...
BACKGROUND: The integration of large language models (LLMs) into medicine has reshaped health care delivery, education, and research. Although proprie...
BACKGROUND: Laboratory testing is a cornerstone of diagnostic decision-making in emergency departments (EDs), yet its overuse contributes substantiall...
BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and Treatment Act (CAPTA), expanding requirements for...
INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare...
INTRODUCTION: Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide. Public health responses to CVD require comp...
Flood maps are essential for disaster preparedness, insurance and climate adaptation, yet US official maps cover only one-third of river channels. Her...
Plastic pollution from fossil-based materials is a major global environmental challenge. Microbially derived bioplastics, such as polyhydroxybutyrate ...
BACKGROUND: The economic viability of enzymatic lignocellulosic biomass conversion is hindered by high production costs and energy-intensive recovery ...
BACKGROUND: The increased use of artificial intelligence (AI) in healthcare, including pediatrics, offers significant opportunities for improving qual...
INTRODUCTION: Emergency Departments (EDs) in Africa face significant challenges including resource scarcity, overcrowding, and limited infrastructure....