Latest AI and machine learning research in public health & policy for healthcare professionals.
Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, Ebola, Zika, and other zoonotic viruses. Traditional pathogen-specific vaccines, although effective for individual diseases, face significant limitations in addressing EIDs due to long development timelines, resource intensity, and restricted adaptabi...
BACKGROUND: Neglected tropical diseases disproportionately affect underserved populations, with snakebite envenoming (SBE) remaining one of the most overlooked, despite its significant global burden. Digital health applications (DHAs) offer potential to improve prevention, care, and resource management, especially when integrated into digital health interventions. However, despite growing interest...
BACKGROUND: Neglected Tropical Diseases disproportionately affect populations in Africa and other low- and middle-income countries. Machine learning h...
BACKGROUND AND AIMS: Wildfire smoke is a growing public health concern, particularly due to its high fine particulate matter (PM2.5) concentrations. W...
PURPOSE: To evaluate whether an artificial intelligence (AI)-assisted surveillance device, AUGi, improves documentation of falls and injury rates in a...
Nutritional deficiencies are a global health challenge that often remain undetected until clinical symptoms or biochemical abnormalities become pronou...
PURPOSE: To predict the risk of diabetic macular edema (DME) onset and to identify features of the risk subgroups. DESIGN: Population-based observatio...
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-...
This review examines the convergence of wearable biosensors and artificial intelligence (AI) in personalized diabetes care. It addresses the limitatio...
Across Africa, substantial investment has built national health information systems (HISs), including the surveillance platforms, reporting tools, and...
BACKGROUND: Depressive symptoms are linked to nutritional vulnerability and functional decline in aging populations, but their relationships with nutr...
Bangladesh remains highly vulnerable to climate-induced hazards that disproportionately affect child health, yet spatially explicit assessments of the...
Antibiotic resistance genes (ARGs) in agricultural soils represent a major public health concern, as climate change is believed to augment their disse...
BACKGROUND: Child neglect, defined as a parent or guardian's failure to provide basic needs such as food, clothing, shelter, or medical care, is a wid...
BACKGROUND: Carfentanil is an extremely potent synthetic fentanyl analogue often present at trace levels alongside other fentanyl analogues and long-a...
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of dispariti...
OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. ...
It is estimated that, globally, the mean point prevalence of diagnosable mental disorders in children and adolescents is higher than 11%, and around h...
Evaluation of body composition (BC) is a set of biomarkers, including fat, muscle and bone, that allows the quantification of an individual's composit...
BACKGROUND: The eligibility framework for the Medicare Medication Therapy Management (MTM) program has been associated with a lower likelihood of meet...