Artificial intelligence-enabled neurosurgery teaching: opportunities, challenges, and countermeasures_West China Medical Journal

Authors：

CHEN Hongxu ¹ , LAI Rui ² , XU Jianguo ¹ ,  LIU Yi ¹

1. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Department of Anesthesiology, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding author：

LIU Yi, Email: neurosurgeon_ly@126.com

Keywords：

Artificial intelligence; neurosurgery; medical education

DOI：

10.7507/1002-0179.202407051

Video：

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Driven by advances in intelligent technology, artificial intelligence (AI) is emerging as the cornerstone of neurosurgical education. By providing personalized learning experiences and enhancing learning outcomes, AI has enriched the avenues and depth of knowledge acquisition for medical students. The integration of AI not only helps medical students master the basic theories and practical skills of neurosurgery more thoroughly, but also lays a solid foundation for them to provide high-quality and efficient medical services in the future. At the same time, the ability of educators to use intelligent technologies further enhances the interactivity and effectiveness of teaching. In order to further ensure the application of AI in neurosurgery teaching, this article explores the strategic integration of AI in neurosurgical education, emphasizing its critical importance in ensuring that teaching methods evolve with the times.

Citation： CHEN Hongxu, LAI Rui, XU Jianguo, LIU Yi. Artificial intelligence-enabled neurosurgery teaching: opportunities, challenges, and countermeasures. West China Medical Journal, 2024, 39(9): 1470-1473. doi: 10.7507/1002-0179.202407051 Copy

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6.	国家智慧教育平台将上线“AI 学习”专栏. 云南教育(视界时政版), 2024(5): 4.
7.	Masters K. Artificial intelligence in medical education. Med Teach, 2019, 41(9): 976-980.
8.	Han ER, Yeo S, Kim MJ, et al. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review. BMC Med Educ, 2019, 19(1): 460.
9.	梁敏慧. 基于人工智能技术的高校个性化教育研究. 学周刊, 2024(19): 106-109.
10.	Leng L. Challenge, integration, and change: ChatGPT and future anatomical education. Med Educ Online, 2024, 29(1): 2304973.
11.	Atli K, Selman W, Ray A. A comprehensive multicomponent neurosurgical course with use of virtual reality: modernizing the medical classroom. J Surg Educ, 2021, 78(4): 1350-1356.
12.	Suri I, Suri M, Hu J, et al. Case volume justification of 3D-navigated spinal procedures: a cost-benefit analysis. J Med Syst, 2023, 47(1): 114.
13.	Panesar SS, Kliot M, Parrish R, et al. Promises and perils of artificial intelligence in neurosurgery. Neurosurgery, 2020, 87(1): 33-44.
14.	Ali K, Barhom N, Tamimi F, et al. ChatGPT-a double-edged sword for healthcare education? Implications for assessments of dental students. Eur J Dent Educ, 2024, 28(1): 206-211.
15.	韦勋, 邹新. ChatGPT 介入高等教育的优势、风险及其纾解. 兵团教育学院学报, 2024, 34(3): 17-22, 42.
16.	van der Niet AG, Bleakley A. Where medical education meets artificial intelligence: “Does technology care?”. Med Educ, 2021, 55(1): 30-36.
17.	Katsuura Y, Colón LF, Perez AA, et al. A primer on the use of artificial intelligence in spine surgery. Clin Spine Surg, 2021, 34(9): 316-321.
18.	陈子瑜, 程国斌. 医疗人工智能中的算法黑箱及其核心伦理问题. 医学与哲学, 2024, 45(12): 6-10.
19.	Franco D’Souza R, Mathew M, Mishra V, et al. Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education. Med Educ Online, 2024, 29(1): 2330250.
20.	李姗姗, 刘登攀. 人工智能技术在医学教育中的应用与挑战. 互联网周刊, 2024(7): 78-80.
21.	周志浩, 宋佳琳, 刘嘉成, 等. 基于人工智能 LLM 技术的虚拟患者系统构建与临床教学应用. 医学新知, 2024, 34(7): 833-842.
22.	张静文, 张懿敏, 孙圣荣. 基于 AI 及影像组学在乳腺癌新辅助治疗中应用的研究进展. 中国普外基础与临床杂志, 2024, 31(7): 881-885.
23.	张俊祥, 李传富, 吕维富. 人工智能在医学教育、科研和临床实践中的应用前景与挑战. 中华全科医学, 2024, 22(7): 1085-1089.

1. Meara JG, Leather AJ, Hagander L, et al. Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet, 2015, 386(9993): 569-624.
2. Dewan MC, Rattani A, Fieggen G, et al. Global neurosurgery: the current capacity and deficit in the provision of essential neurosurgical care. Executive summary of the global neurosurgery initiative at the program in global surgery and social change. J Neurosurg, 2018, 130(4): 1055-1064.
3. Venkatraman V, Suarez AD, Kirsch EP, et al. Quantifying the opportunity cost of neurosurgical resident education. World Neurosurg, 2023, 175: e669-e677.
4. Marotta D, Aita SL, Witten A, et al. Leveraging the power of the internet for neurosurgical education: a standardized survey for the pursuit of educational excellence. World Neurosurg, 2022, 161: 450-458.e2.
5. 赵亮, 徐涛, 侯立军. 神经外科住院医师规范化培训存在的问题及教学改进措施. 中国继续医学教育, 2023, 15(13): 177-181.
6. 国家智慧教育平台将上线“AI 学习”专栏. 云南教育(视界时政版), 2024(5): 4.
7. Masters K. Artificial intelligence in medical education. Med Teach, 2019, 41(9): 976-980.
8. Han ER, Yeo S, Kim MJ, et al. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review. BMC Med Educ, 2019, 19(1): 460.
9. 梁敏慧. 基于人工智能技术的高校个性化教育研究. 学周刊, 2024(19): 106-109.
10. Leng L. Challenge, integration, and change: ChatGPT and future anatomical education. Med Educ Online, 2024, 29(1): 2304973.
11. Atli K, Selman W, Ray A. A comprehensive multicomponent neurosurgical course with use of virtual reality: modernizing the medical classroom. J Surg Educ, 2021, 78(4): 1350-1356.
12. Suri I, Suri M, Hu J, et al. Case volume justification of 3D-navigated spinal procedures: a cost-benefit analysis. J Med Syst, 2023, 47(1): 114.
13. Panesar SS, Kliot M, Parrish R, et al. Promises and perils of artificial intelligence in neurosurgery. Neurosurgery, 2020, 87(1): 33-44.
14. Ali K, Barhom N, Tamimi F, et al. ChatGPT-a double-edged sword for healthcare education? Implications for assessments of dental students. Eur J Dent Educ, 2024, 28(1): 206-211.
15. 韦勋, 邹新. ChatGPT 介入高等教育的优势、风险及其纾解. 兵团教育学院学报, 2024, 34(3): 17-22, 42.
16. van der Niet AG, Bleakley A. Where medical education meets artificial intelligence: “Does technology care?”. Med Educ, 2021, 55(1): 30-36.
17. Katsuura Y, Colón LF, Perez AA, et al. A primer on the use of artificial intelligence in spine surgery. Clin Spine Surg, 2021, 34(9): 316-321.
18. 陈子瑜, 程国斌. 医疗人工智能中的算法黑箱及其核心伦理问题. 医学与哲学, 2024, 45(12): 6-10.
19. Franco D’Souza R, Mathew M, Mishra V, et al. Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education. Med Educ Online, 2024, 29(1): 2330250.
20. 李姗姗, 刘登攀. 人工智能技术在医学教育中的应用与挑战. 互联网周刊, 2024(7): 78-80.
21. 周志浩, 宋佳琳, 刘嘉成, 等. 基于人工智能 LLM 技术的虚拟患者系统构建与临床教学应用. 医学新知, 2024, 34(7): 833-842.
22. 张静文, 张懿敏, 孙圣荣. 基于 AI 及影像组学在乳腺癌新辅助治疗中应用的研究进展. 中国普外基础与临床杂志, 2024, 31(7): 881-885.
23. 张俊祥, 李传富, 吕维富. 人工智能在医学教育、科研和临床实践中的应用前景与挑战. 中华全科医学, 2024, 22(7): 1085-1089.

West China Medical Journal

Artificial intelligence-enabled neurosurgery teaching: opportunities, challenges, and countermeasures

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