Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Sep 25, 2023

Abstract

BACKGROUND: Incorporating artificial intelligence (AI) into clinics brings the risk of automation bias, which potentially misleads the clinician's decision-making. The purpose of this study was to propose a potential strategy to mitigate automation bias.

Authors

  • Ding-Yu Wang
    Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China; Beijing Key Laboratory of Sports Injuries, Beijing, China; Engineering Research Center of Sports Trauma Treatment Technology and Devices, Ministry of Education, Beijing, China.
  • Jia Ding
    Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China.
  • An-Lan Sun
    Beijing Yizhun Medical AI Co., Ltd, Beijing, China.
  • Shang-Gui Liu
    Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China; Beijing Key Laboratory of Sports Injuries, Beijing, China; Engineering Research Center of Sports Trauma Treatment Technology and Devices, Ministry of Education, Beijing, China.
  • Dong Jiang
  • Nan Li
    School of Basic Medical Sciences, Jiamusi University No. 258, Xuefu Street, Xiangyang District, Jiamusi 154007, Heilongjiang, China.
  • Jia-Kuo Yu
    Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China; Beijing Key Laboratory of Sports Injuries, Beijing, China; Engineering Research Center of Sports Trauma Treatment Technology and Devices, Ministry of Education, Beijing, China. Electronic address: yujiakuo@126.com.

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