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：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

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

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.	趙亮, 徐濤, 侯立軍. 神經外科住院醫師規范化培訓存在的問題及教學改進措施. 中國繼續醫學教育, 2023, 15(13): 177-181.
6.	國家智慧教育平臺將上線“AI 學習”專欄. 云南教育(視界時政版), 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. 基于人工智能技術的高校個性化教育研究. 學周刊, 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.	韋勛, 鄒新. ChatGPT 介入高等教育的優勢、風險及其紓解. 兵團教育學院學報, 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.	陳子瑜, 程國斌. 醫療人工智能中的算法黑箱及其核心倫理問題. 醫學與哲學, 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.	李姍姍, 劉登攀. 人工智能技術在醫學教育中的應用與挑戰. 互聯網周刊, 2024(7): 78-80.
21.	周志浩, 宋佳琳, 劉嘉成, 等. 基于人工智能 LLM 技術的虛擬患者系統構建與臨床教學應用. 醫學新知, 2024, 34(7): 833-842.
22.	張靜文, 張懿敏, 孫圣榮. 基于 AI 及影像組學在乳腺癌新輔助治療中應用的研究進展. 中國普外基礎與臨床雜志, 2024, 31(7): 881-885.
23.	張俊祥, 李傳富, 呂維富. 人工智能在醫學教育、科研和臨床實踐中的應用前景與挑戰. 中華全科醫學, 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. 趙亮, 徐濤, 侯立軍. 神經外科住院醫師規范化培訓存在的問題及教學改進措施. 中國繼續醫學教育, 2023, 15(13): 177-181.
6. 國家智慧教育平臺將上線“AI 學習”專欄. 云南教育(視界時政版), 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. 基于人工智能技術的高校個性化教育研究. 學周刊, 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. 韋勛, 鄒新. ChatGPT 介入高等教育的優勢、風險及其紓解. 兵團教育學院學報, 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. 陳子瑜, 程國斌. 醫療人工智能中的算法黑箱及其核心倫理問題. 醫學與哲學, 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. 李姍姍, 劉登攀. 人工智能技術在醫學教育中的應用與挑戰. 互聯網周刊, 2024(7): 78-80.
21. 周志浩, 宋佳琳, 劉嘉成, 等. 基于人工智能 LLM 技術的虛擬患者系統構建與臨床教學應用. 醫學新知, 2024, 34(7): 833-842.
22. 張靜文, 張懿敏, 孫圣榮. 基于 AI 及影像組學在乳腺癌新輔助治療中應用的研究進展. 中國普外基礎與臨床雜志, 2024, 31(7): 881-885.
23. 張俊祥, 李傳富, 呂維富. 人工智能在醫學教育、科研和臨床實踐中的應用前景與挑戰. 中華全科醫學, 2024, 22(7): 1085-1089.

West China Medical Journal

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

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content