Research on responsible AI has boomed over the past few years. Yet, an understanding of
the responsible AI research across primary disciplines is missing in the literature. Through a …

Cognitive analytics employs and analyses complex and heterogeneous data sources
generating deeper insights that mimic the natural intelligence of the human brain. Cognitive …

Artificial Intelligence (AI) in healthcare, initially described in 1950, took a leap in the early
2000s with the advent of deep learning, aiming to emulate human cognitive functions and …

The rapid development and widespread use of computer technology in today's society have
brought significant benefits and convenience to individuals and organizations. The study …

Artificial Intelligence (AI) research has expanded very quickly in recent years due to the
increase in data and resources, along with the engagement of companies in proposing …

Artificial intelligence (AI) has revolutionized the scientific and biological fields to facilitate
animal and human health. The purpose of this chapter is to explain the impact and role of AI …

Viral respiratory infections in children are a major public health issue, with high incidence
rates and a significant impact on healthcare systems. The application of artificial intelligence …

Although IoT has proven to be a vital instrument for data collection, epidemiological data
collection has presented a significant challenge to the AI community. Thus, data for …

This paper examines the ethical and privacy considerations of implementing AI-enabled
syndromic surveillance systems in under-resourced Southern African countries. It highlights …

Artificial Intelligence (AI) has been applied to many human endeavors, and epidemiology is
no exception. The AI community has recently seen a renewed interest in applying AI …