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Potential applications and challenges of generative artificial intelligence in traditional Chinese medicine education

Published on Nov. 13, 2024Total Views: 1009 timesTotal Downloads: 173 timesDownloadMobile

Author: LI Zhiqiang 1 WANG Xuefeng 1 CAO Feng 1 WANG Yanding 2 FEI Yutong 1 LIU Jianping 1

Affiliation: 1. Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China 2. Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich 81377, German

Keywords: Generative artificial intelligence ChatGPT Medical education Traditional Chinese medicine

DOI: 10.12173/j.issn.1004-5511.202405022

Reference: Li ZQ, Wang XF, Cao F, Wang YD, Fei YT, Liu JP. Potential applications and challenges of generative artificial intelligence in traditional Chinese medicine education[J]. Yixue Xinzhi Zazhi, 2024, 34(10): 1191-1198. DOI: 10.12173/j.issn.1004-5511.202405022. [Article in Chinese]

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Abstract

Since its introduction, generative artificial intelligence (GenAI) has received extensive attention and discussion in the education sector. Scholars from various disciplines have elaborated on the significant impact and potential applications of GenAI in the field of medical education, including medical genetics, nursing, and laboratory medicine. The development of GenAI is poised to integrate deeply into more medical education scenarios, bringing convenience to the future medical field. Traditional Chinese medicine (TCM) education, distinct from modern medical education in its theories, diagnostic methods, and clinical practices, has its unique characteristics. It is worth exploring whether GenAI can be applied to TCM education to complement and enhance its educational development, and how to address concerns regarding errors, biases, and privacy during the practical application of GenAI in education. Therefore, this paper analyzes the potential applications, challenges, and countermeasures of GenAI in TCM education, aiming to provide references for the application of GenAI in TCM education to better adapt to the rapid development of medicine.

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References

1.Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns[J]. Healthcare (Basel), 2023, 11(6): 887. DOI: 10.3390/healthcare11060887.

2.王永炎, 王忠, 廖星. 重始源, 守正创新奋力中医中药学科建设[J]. 中国中药杂志, 2022, 47(9): 2273-2276. [Wang YY, Wang Z, Liao X. Originality and innovation of disciplinary development of traditional Chinese medicine[J]. China Journal of Chinese Materia Medica, 2022, 47(9): 2273-2276.] DOI: 10.19540/j.cnki.cjcmm.20220324.601.

3.Wenping Ai. Research on the application of artificial intelligence in traditional Chinese medicine online education[C]. International Conference on Biomedical and Intelligent Systems (IC-BIS 2022). 2022: 124583K-1-124583K-4.

4.Wang Y, Shi X, Li L, et al. The impact of artificial intelligence on traditional Chinese medicine[J]. Am J Chin Med, 2021, 49(6): 1297-1314. DOI: 10.1142/S0192415X21500622.

5.Shimizu I, Kasai H, Shikino K, et al. Developing medical education curriculum reform strategies to address the impact of generative AI: qualitative study[J]. JMIR Med Educ, 2023, 9: e53466. DOI: 10.2196/53466.

6.罗旭飞,吕晗,史乾灵,等.大语言模型在循证医学领域的应用[J].中国循证医学杂志, 2024, 24(4): 373-377. [Luo XF, Lyu H, Shi QL, et al. The application of large language models in evidence based medicine[J].  Chinese Journal of Evidence-Based Medicine, 2024, 24(4): 373-377.] DOI: 10.7507/1672-2531.202312067.

7.罗华宇, 许敏, 曾朝蓉, 等. ChatGPT在护理领域中应用的前景与挑战[J]. 中华护理教育, 2023, 20(12): 1520-1523. [Luo HY, Xu M, Zeng CR, et al. Prospects and challenges of ChatGPT application in the nursing field[J]. Chinese Journal of Nursing Education, 2023, 20(12): 1520-1523.] DOI: 10.3761/j.issn.1672-9234.2023.12.019.

8.梅景曌, 高艳红. ChatGPT在检验医学中的应用挑战[J]. 标记免疫分析与临床, 2023, 30(4): 695-698. [Mei JZ, Gao YH. Application challenges of ChatGPT in laboratory medicine[J]. Labeled Immunoassays and Clinical Medicine, 2023, 30(4): 695-698.] DOI: 10.11748/bjmy.issn.1006-1703.2023.04.031.

9.杨玲, 刘雯, 左伋. ChatGPT在医学遗传学教学中的运用[J].中国优生与遗传杂志, 2023, 31(6): 1283-1285. [Yang L, Liu W, Zuo G. The application of ChatGPT in medical genetics teaching[J]. Chinese Journal of Birth Health & Heredity, 2023, 31(6): 1283-1285.] DOI: 10.13404/j.cnki.cjbhh.20230426.001.

10.Gilson A, Safranek CW, Huang T, et al. How does ChatGPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment[J]. JMIR Med Educ, 2023, 9: e45312. DOI: 10.2196/45312.

11.Mbakwe AB, Lourentzou I, Celi LA, et al. ChatGPT passing USMLE shines a spotlight on the flaws of medical education[J]. PLOS Digit Health, 2023, 2(2): e0000205. DOI: 10.1371/journal.pdig.0000205.

12.Huh S. Are ChatGPT's knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination: a descriptive study[J]. J Educ Eval Health Prof, 2023, 20: 1. DOI: 10.3352/jeehp.2023.20.1.

13.Bommineni VL, Bhagwagar S, Balcarcel D, et al. Performance of ChatGPT on the MCAT: The Road to Personalized and Equitable Premedical Learning[J]. medRxiv, 2023. DOI: 10.1101/2023.03.05.23286533.

14.Eysenbach G. The role of ChatGPT, generative language models, and artificial intelligence in medical education: a conversation with ChatGPT and a call for papers[J]. JMIR Med Educ, 2023, 9: e46885. DOI: 10.2196/46885.

15.Moldt JA, Festl-Wietek T, Madany Mamlouk A, et al. Chatbots for future docs: exploring medical students' attitudes and knowledge towards artificial intelligence and medical chatbots[J]. Med Educ Online, 2023, 28(1): 2182659. DOI: 10.1080/10872981.2023.2182659.

16.Holderried F, Stegemann-Philipps C, Herschbach L, et  al. A generative pretrained transformer (GPT)-powered chatbot as a simulated patient to practice history taking: prospective, mixed methods study[J]. JMIR Med Educ, 2024, 10: e53961. DOI: 10.2196/53961.

17.Preiksaitis C, Rose C. Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review[J]. JMIR Med Educ, 2023, 9: e48785. DOI: 10.2196/48785.

18.Benoit J. ChatGPT for clinical vignette generation, revision, and evaluation[J]. medRxiv, 2023. DOI: 10.1101/ 2023.02.04.23285478.

19.邓珍珍,于雅丽,沈艺. 中医语言的模糊性及英译方法探讨[J]. 国际中医中药杂志, 2018, 40(11): 1079-1081. [Deng ZZ, Yu YL, Shen Y. Translation strategy of fuzzy language in traditional Chinese medicine[J]. International Journal of Traditional Chinese Medicine, 2018, 40(11): 1079-1081.] DOI: 10.3760/cma.j.issn.1673-4246. 2018.11.018.

20.陈媛. 基于术语翻译的中医体系重构: 知识生产视角[J]. 外语与翻译, 2024, 31(3): 47-54. [Chen Y. Reconstruction of the traditional Chinese medicine system based on terminology translation: a knowledge production perspective[J]. Foreign Languages and Translation, 2024, 31(3): 47-54.] DOI: 10.19502/j.cnki.2095-9648. 2024.03.005.

21.Stokel-Walker C, Van Noorden R. What ChatGPT and generative AI mean for science[J]. Nature, 2023, 614(7947): 214-216. DOI: 10.1038/d41586-023-00340-6.

22.常健博, 陈亦豪, 冯铭, 等. 医智融合开启循证医学新时代[J] .中华医学杂志, 2022, 102(5) : 382-384. [Chang JB, Chen YH, Feng M, et al. Medical intelligence integration opens up a new era of evidence-based medicine[J]. National Medical Journal of China, 2022, 102(5) : 382-384.] DOI: 10.3760/cma.j.cn112137-20210513-01126.

23.毛超一,刘安,杨健,等. 美国继续医学教育现状及对中医药继续教育的启示[J]. 国际中医中药杂志, 2015, 37(9): 782-784. [Mao CY, Liu A, Yang J, et  al. Enlightenment on continuing education of traditional Chinese medicine from continuing medical education in US[J].International Journal of Traditional Chinese Medicine, 2015, 37(9): 782-784.] DOI: 10.3760/cma.j.issn.1673-4246.2015.09.004.

24.McLaren K, Lord J, Murray S. Perspective: delivering effective and engaging continuing medical education on physicians' disruptive behavior[J]. Acad Med, 2011, 86(5): 612-617. DOI: 10.1097/ACM.0b013e318212e8ea.

25.Wang LK, Paidisetty PS, Cano AM. The next paradigm shift? ChatGPT, artificial intelligence, and medical education[J]. Med Teach, 2023, 45(8): 925. DOI: 10.1080/0142159X.2023.2198663.

26.Pearce J, Chiavaroli N. Rethinking assessment in response to generative artificial intelligence[J]. Med Educ, 2023, 57(10): 889-891. DOI: 10.1111/medu.15092.

27.Ofgang E. What is GPTZero? The ChatGPT Detection Tool Explained By Its Creator[EB/OL]. (2023-2-25) [2024-2-5]. https://www.techlearning.com/news/what-is-gptzero-the-ChatGPT-detection-tool-explained.

28.Ji Z, Lee N, Frieske R, et al. Survey of hallucination in natural language generation[J]. ACM Comput Surv, 2022,  55(12): 1-38. DOI: 10.48550/arXiv.2202.03629.

29.Lee H. The rise of ChatGPT: exploring its potential in medical education[J]. Anat Sci Educ, 2024,17(5): 926-931. DOI: 10.1002/ase.2270.

30.管红珍, 彭智聪, 傅鹰.循证医学中文献证据等级标准的系统性综述[J]. 药物流行病学杂志, 2002, 11(3): 145-148. [Guan HZ, Peng ZC, Fu Y. Systemic review of grade standard of literature evidence in evidence-based medicine[J]. Chinese Journal of Pharmacoepidemiology, 2002, 11(3): 145-148. DOI: 10.3969/j.issn.1005-0698.2002.03.014.

31.Abd-Alrazaq A, AlSaad R, Alhuwail D, et al. Large language models in medical education: opportunities, challenges, and future directions[J]. JMIR Med Educ, 2023, 9: e48291. DOI: 10.2196/48291.

32.Zeb A, Ullah R, Karim R. Exploring the role of ChatGPT in higher education: opportunities, challenges and ethical considerations[J]. International Journal of Information and Learning Technology, 2024, 41(1): 99-111. DOI: 10.1108/IJILT-04-2023-0046.

33.Li ZQ, Wang XF, Liu JP. Publication trends and hot spots of ChatGPT's application in the medicine[J]. J Med Syst. 2024, 48(1): 52. DOI: 10.1007/s10916-024-02074-y.

34.Ganjavi C, Eppler MB, Pekcan A, et al. Publishers' and journals' instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis[J]. BMJ. 2024, 384: e077192. DOI: 10.1136/bmj-2023-077192.