Preferences for Artificial Intelligence Clinicians Before and During the COVID-19 Pandemic: Discrete Choice Experiment and Propensity Score Matching Study.

Journal: Journal of medical Internet research
Published Date: Mar 2, 2021

Abstract

BACKGROUND: Artificial intelligence (AI) methods can potentially be used to relieve the pressure that the COVID-19 pandemic has exerted on public health. In cases of medical resource shortages caused by the pandemic, changes in people's preferences for AI clinicians and traditional clinicians are worth exploring.

Authors

  • Taoran Liu
    Faculty of Economics and Business, University of Groningen, Groningen, Netherlands.
  • Winghei Tsang
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Yifei Xie
    International School, Jinan University, Guangzhou, China.
  • Kang Tian
    Faculty of Social Sciences, University of Southampton, Southampton, United Kingdom.
  • Fengqiu Huang
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Yanhui Chen
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Oiying Lau
    International School, Jinan University, Guangzhou, China.
  • Guanrui Feng
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Jianhao Du
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Bojia Chu
    Department of Applied Mathmatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.
  • Tingyu Shi
    Faculty of Social Sciences, University of Southampton, Southampton, United Kingdom.
  • Junjie Zhao
    College of Computer Science and Technology, Henan Polytechnic University, Henan, China.
  • Yiming Cai
    School of Applied Mathematics, Beijing Normal University (Zhuhai), Zhuhai, China.
  • Xueyan Hu
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Babatunde Akinwunmi
    Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, United States.
  • Jian Huang
    Center for Informational Biology, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, P. R. China.
  • Casper J P Zhang
    School of Public Health, The University of Hong Kong, Hong Kong, China.
  • Wai-Kit Ming
    International School, Jinan University, Guangzhou, China.

Keywords

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