… public health and improve health outcomes for communities worldwide. However, it is important
that one approaches the use of AI in public health … use of AI in public health. By doing so, …

… are distinctly different from those for clinical or health care systems. In this paper, we … AI for
public health and discuss six key priorities for successful implementation of AI by public health …

… in public health practice, and further proposed a framework for how to integrate AI into public
health … education paradigm of public health and help respond to public health emergencies. …

… The applications of artificial intelligence have received growing … based on artificial intelligence
in the health domain is intended … In the future, artificial intelligence is expected to have a …

… In this article, we review efforts within the Public Health Agency … (COVID-19), to support public
health decisions. The COVID-19 … recognised by the global public health community in mid-…

… Artificial intelligence (AI) has been adopted in a wide spectrum of clinical medicine applications;
1 however, the uptake of AI technologies in public health remains slow. The coronavirus …

… of artificial intelligence (AI). AI is, in the most fundamental sense, the natural intelligence of a
… This non-human intelligence can accomplish miracles with an accuracy and reliability of 90 …

… In order to effectively prevent the occurrence of crimes that endanger public health, reduce
the crime rate, and ensure public health and public health order, this research applies deep …

… the rise of artificial intelligence (AI) and machine learning (ML… to the disaster and public
health emergency response community, … in intelligent computing for disaster and public health …

… The usage of artificial intelligence and machine learning algorithms to improve public health
is contingent upon updating its knowledge base according to evolving medical practices …