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

BackgroundArtificial 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...

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Main Authors: Liu, Taoran (Author), Tsang, Winghei (Author), Xie, Yifei (Author), Tian, Kang (Author), Huang, Fengqiu (Author), Chen, Yanhui (Author), Lau, Oiying (Author), Feng, Guanrui (Author), Du, Jianhao (Author), Chu, Bojia (Author), Shi, Tingyu (Author), Zhao, Junjie (Author), Cai, Yiming (Author), Hu, Xueyan (Author), Akinwunmi, Babatunde (Author), Huang, Jian (Author), Zhang, Casper J P (Author), Ming, Wai-Kit (Author)
Format: Book
Published: JMIR Publications, 2021-03-01T00:00:00Z.
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