Using artificial intelligence to improve public health: a narrative review.

Journal: Frontiers in public health
Published Date: Oct 26, 2023

Abstract

Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began recently, with the advent of COVID-19. This review examines the advances of AI in public health and the potential challenges that lie ahead. Some of the ways AI has aided public health delivery are via spatial modeling, risk prediction, misinformation control, public health surveillance, disease forecasting, pandemic/epidemic modeling, and health diagnosis. However, the implementation of AI in public health is not universal due to factors including limited infrastructure, lack of technical understanding, data paucity, and ethical/privacy issues.

Authors

  • David B Olawade
    Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom.
  • Ojima J Wada
    Division of Sustainable Development, Qatar Foundation, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Aanuoluwapo Clement David-Olawade
    Endoscopy Unit, NHS Trust, Epsom and St. Helier University Hospitals, Carshalton, United Kingdom.
  • Edward Kunonga
    School of Health and Life Sciences, Teesside University, Middlesbrough, United Kingdom.
  • Olawale Abaire
    Department of Biochemistry, Adekunle Ajasin University, Akungba-Akoko, Nigeria.
  • Jonathan Ling
    Independent Researcher, Stockton-on-Tees, United Kingdom.

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