DOI:Study on the combination of artificial intelligence and mind mapping in cultivating clinical thinking among interns

Corresponding author: Han Tongyan, tongyanhan@qq.com

DOI: 10.12201/bmr.202412.00023

•  

  Abstract: Objective: To explore the combination of artificial intelligence and mind mapping in cultivating the thinking ability of interns.Method: Eight year interns who entered our pediatric department for internships from November 2020 to November 2022 were included as research subjects and randomly divided into three groups: APP group (Group A, application of artificial intelligence APP group), mind mapping group (Group M, application of mind mapping group), and a combination of the two groups (Group M+A, combination of artificial intelligence APP and mind mapping group). At the time of graduation, the learning effects of different groups of medical students were evaluated through interview case analysis and theoretical exams Thinking ability. Survey students feelings and effects on three forms of learning through a questionnaire.Result: A total of 110 medical students were included, including 35 in Group A, 39 in Group M, and 36 in Group M+A. By comparing the exam scores of the three groups, it was found that compared to Group A and Group M, the exam scores of Group A+M were significantly higher, with statistical significance (p=0.014, p=0.001). However, there was no statistically significant difference between Group A and Group M. A questionnaire survey shows that compared to a separate group of artificial intelligence apps and mind map learning, the combination of the two can better improve self-learning ability, enhance understanding of knowledge, establish a knowledge system, and improve memory.Conclusion: The combination of artificial intelligence apps and mind maps can improve the thinking ability of medical students. In future medical student teaching, the combination of artificial intelligence apps and mind maps can continue to be applied for clinical learning.

  Key words: Artificial intelligence; AI； Mind mapping; Clinical thinking；Trainee; Medical education

  Submit time: 7 December 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• Yufan Zhu, Xin Zhao, Zhiqiang Yang, Houcheng Zhong, Lin Cai, Yuanlong Xie. Prospect of the Training Model for Artificial Intelligence + Medicine Inter-disciplinary Talents. 2020. doi: 10.12201/bmr.202008.00010

  Li Ping, Sun Liping, Ren He, Li Huaping, Shao Zeguo. Construction of artificial intelligence thinking training course system for medical device specialty. 2020. doi: 10.12201/bmr.202007.00013

  XU Jin. Innovative Research On Improving Medical Medical Staff Literacy Based On Mind Mapping. 2022. doi: 10.12201/bmr.202207.00015

  Dong Kun, Yang Fen, Yang Yang. Application and Thinking of Artificial Intelligence in General Practitioner Training. 2023. doi: 10.12201/bmr.202305.00011

  dongtingting. Study on the safety impact and countermeasures of medical artificial intelligence products on patients. 2020. doi: 10.12201/bmr.202012.00004

  wusijing, xubinbin, huangfeng. Development Status and Policy Suggestions of Medical Artificial Intelligence in Zhejiang Province. 2021. doi: 10.12201/bmr.202101.00015

  zhaorui, shixiuyuan, zhongxueran, renping, tianxueqin, liuchunping, youmao. Construction of clinical application evaluation path of medical artificial intelligence technology based on health technology evaluationRui Zhao, Xiuyuan Shi, Xueran Zhong, Chunping Liu, Ping Ren, Xueqin Tian, Mao You. 2022. doi: 10.12201/bmr.202203.00005

  xiejunxiang. The composition of Key Technologies and Application in Medical Artificial Intelligence. 2020. doi: 10.12201/bmr.202005.00243

  Li Ming. Analysis of doctors willingness to use medical artificial intelligence and influencing factors. 2023. doi: 10.12201/bmr.202312.00020

  GE Xiaoling. Application of Artificial Intelligence Large Models in Healthcare:a Survey. 2024. doi: 10.12201/bmr.202408.00039

• ID	Submit time	Number	Download
  1	2024-06-24	bmr.202412.00023V1	Download

• Public  Anonymous  To author only Submit Comments