Latest AI and machine learning research in public health & policy for healthcare professionals.
OBJECTIVE: The global population is aging and the burden of lower urinary tract symptoms (LUTS) is e...
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditio...
Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancem...
Prediabetes is a critical health condition characterized by elevated blood glucose levels that fall ...
Rising diabetes rates have led to increased healthcare costs and health complications. An estimated ...
In recent years, the United States has witnessed a significant surge in the popularity of vaping o...
OBJECTIVE: Social media-based public health research is crucial for epidemic surveillance, but most ...
Assessing heterogeneous treatment effects (HTEs) is an essential task in epidemiology. The recent in...
COVID-19 is caused by the SARS-CoV-2 virus, which has produced variants and increasing concerns abou...
Human Action Recognition (HAR) encompasses the task of monitoring human activities across various ...
BACKGROUND: Previous studies have indicated that creatinine (Cr)-based glomerular filtration rate (G...
Analysis of phylogenetic trees has become an essential tool in epidemiology. Likelihood-based method...
In order to clarify the transmission mechanism of the impact of mechanization on the occupational he...
Artificial intelligence (AI) holds the promise of addressing many of the numerous challenges healthc...
Artificial Intelligence (AI) applications have shown promise in the management of pandemics. In resp...
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelli...
Health and risk of disease are determined by exposure to the physical, socio-economic, and political...
BACKGROUND: Malaria remains one the leading communicable causes of death. Approximately half of the ...
Foodborne illnesses, particularly those caused by Salmonella enterica with its extensive array of ov...
Disease ontologies facilitate the semantic organization and representation of domain-specific knowle...
In Taiwan, the number of applications for inspecting imported food has grown annually and noncomplia...