ChatGPT and similar models in higher medical education of China: refuse or embrace?

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v6i7.2580

Quan SHEN¹, Zhengping LI², Zixuan SUN¹, Yuwei LIU¹, Shixing YANG¹, Xiaochun WANG¹, Likai JI¹, Wen ZHANG¹

1. Department of Bioinformatics and Intelligent Diagnosis, School of Medicine, Jiangsu University
2. Periodicals Agency of Jiangsu University

Abstract

The development of artificial intelligence (AI) technology is promoting the transformation of medical practice and medical education. Many countries including America and China have incorporated the development of AI into its national strategy, advocating and promoting the integration of AI education into medical education, enabling medical students to understand and accept the concept of AI and its technical advantages, as well as cultivating future medical personnel to use AI related technologies to assist clinical decision-making and improve the efficiency and quality of diagnosis and treatment. ChatGPT, one of the most popular AI programs at the moment and released by OpenAI company at the end of 2022, is a language model based on natural language processing (NLP) and machine learning. It is the latest achievement of artificial intelligence natural language processing tools and will be continuously updated. Once launched, ChatGPT quickly became the focus of global attention, and triggered discussions on college education in ChatGPT. This article looks forward to the potential role and limitations of ChatGPT and similar models in medical education in the future from its application scenarios and limitations.

Keywords

artificial intelligence; ChatGPT; medical education

Funding

The Ministry of Education's Industry School Cooperation Collaborative Education Project (220606121292008). Research Project on the Teaching Reform of Ideological and Political Education in Courses at Jiangsu University (2022SZZD014);

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References

[1]Biswas S. 2023. ChatGPT and the future of medical writing. Radiology, 307(2): e223312.
DOI: 10.1148/radiol.223312. Epub 2023 Feb 2. PMID: 36728748.
[2] The State Council. 2017. China's new generation artificial intelligence development plan. The Bulletin of the State Council of the People's Republic of China, 19:118-25.
[3] Liu PR, Lu L, Zhang JY, et al. 2021. Application of artificial intelligence in medicine: an overview. Current Medical Science, 41(6): 1105-1115. DOI: 10.1007/s11596-021-2474-3. Epub 2021 Dec 6. PMID: 34874486; PMCID: PMC8648557
[4] Brouillette M. 2019 . AI added to the curriculum for doctors-to-be. Nature Medicine, 25(12):1808-1809.
DOI: 10.1038/s41591-019-0648-3. PMID: 31806886.
[5]Nasca TJ, Philibert I, Brigham T, Flynn TC. 2012 . The next GME accreditation system--rationale and benefits. The New England Journal of Medicine, 366(11):1051-1056. DOI: 10.1056/NEJMsr1200117. Epub 2012 Feb 22. PMID: 22356262.
[6] Ma S, Cheng Y. 2017. Chinese robot becomes world's first machine to pass medical exam. China Daily, 2017-11-10.
[7] UNESCO. 2019. Beijing Consensus on Artificial Intelligence and Education. Unit for ICT in Education Education Sector, UNESCO.;ark:/48223/pf0000368303. doi: https://en.unesco.org/themes/ict-educationAny.
[8] Else H. 2023. Abstracts written by ChatGPT fool scientists. Nature, 613(7944): 423.
DOI: 10.1038/d41586-023-00056-7. PMID: 36635510.
[9] Thorp HH. 2023. ChatGPT is fun, but not an author. Science, 379(6630): 313. DOI:10.1126/science.adg7879. Epub 2023 Jan 26. PMID: 36701446.
[10] Yeo-Teh NSL, Tang BL. 2023. Letter to editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria. Accountability in Research, 13:1-3.
DOI: 10.1080/08989621.2023.2177160. Epub ahead of print. PMID: 36748354.

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