Artificial Intelligence and Big Data in Public Health

TLDR

Artificial intelligence and automation dominate global discussions on future employment, societal change, and economic performance. The paper describes fundamental concepts of AI and Big Data and their significance to public health. The authors highlight issues and describe potential impacts and challenges to medical professionals and diagnosticians. The paper outlines benefits of advanced data analytics and machine learning, while also identifying ethical problems and future roles of professionals in AI.

Abstract

Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence.