Applications of Robotics, Artificial Intelligence, and Digital Technologies During COVID-19: A Review.

Journal: Disaster medicine and public health preparedness
Published Date:

Abstract

Many countries have enacted a quick response to the unexpected coronavirus disease 2019 (COVID-19) pandemic by using existing technologies. For example, robotics, artificial intelligence, and digital technology have been deployed in hospitals and public areas for maintaining social distancing, reducing person-to-person contact, enabling rapid diagnosis, tracking virus spread, and providing sanitation. In this study, 163 news articles and scientific reports on COVID-19-related technology adoption were screened, shortlisted, categorized by application scenario, and reviewed for functionality. Technologies related to robots, artificial intelligence, and digital technology were selected from the pool of candidates, yielding a total of 50 applications for review. Each case was analyzed for its engineering characteristics and potential impact on the COVID-19 pandemic. Finally, challenges and future directions regarding the response to this pandemic and future pandemics were summarized and discussed.

Authors

  • Zhuo Zhao
    School of Electrical and Computer Engineering, The University of Georgia, 597 DW Brooks Dr., Athens, GA, 30602, USA.
  • Yangmyung Ma
    Hull York Medical School, The University of York, Heslington, York, UK.
  • Adeel Mushtaq
    Hull York Medical School, The University of York, Heslington, York, UK.
  • Abdul M Azam Rajper
    Hull York Medical School, The University of York, Heslington, York, UK.
  • Mahmoud Shehab
    Hull York Medical School, The University of York, Heslington, York, UK.
  • Annabel Heybourne
    Hull York Medical School, The University of York, Heslington, York, UK.
  • WenZhan Song
    Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
  • Hongliang Ren
    Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore. ren@nus.edu.sg.
  • Zion Tsz Ho Tse
    1Medical Robotics Laboratory,College of Engineering,The University of Georgia,Athens,Georgia.