• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Analysis of doctors willingness to use medical artificial intelligence and influencing factors

Corresponding author: Li Ming, ming-li18@mails.tsinghua.edu.cn
DOI: 10.12201/bmr.202312.00020
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: Objective/Significance: To explore the attitudes, willingness, and influencing factors of Chinese doctors towards medical artificial intelligence. Method/Process: A cross-sectional survey was conducted by distributing closed-ended questionnaires via WeChat to 327 doctors. The questionnaire content included the doctors background, their understanding of AI, their level of acceptance, and their willingness to use it. Descriptive statistics, intergroup comparison, and logistic regression analysis were used. Results/Conclusion: In terms of trust in AI, 4 people (1.22%) had high trust, 83 people (25.38%) had moderate trust, 219 people (66.97%) had general trust, 19 people (5.81%) had low trust, and 2 people (0.61%) had very low trust. In terms of willingness to use, 170 people (51.99%) were proactive in using it and 81(24.77%) were reactive. At the same time, there were significant differences between groups in terms of gender (P=0.017), education level (P=0.045), doctors attention to AI (P=0.000), and the number of mobile apps (P=0.000). Most doctors have a positive attitude towards AI, and there are differences in willingness to use based on factors such as gender and level of attention.

    Key words: Artificial Intelligence, Physician, Attitude, Willingness

    Submit time: 12 December 2023

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  • ID Submit time Number Download
    1 2023-07-04

    bmr.202312.00020V1

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Li Ming. Analysis of doctors willingness to use medical artificial intelligence and influencing factors. 2023. biomedRxiv.202312.00020

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