Study on curriculum reconstruction of oral and maxillofacial surgery driven by a voice-interactive artificial intelligence agent_West China Medical Journal

Authors：

LI Zhixuan , ZHU Guiquan , LI Chunjie ,  GUO Zhiyong

State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding?author：

GUO Zhiyong, Email: zhiyongguo@scu.edu.cn

Keywords：

Oral and maxillofacial surgery; artificial intelligence agent; teaching reform; medical education

DOI：

10.7507/1002-0179.202512078

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective To investigate the effectiveness of applying a voice-interactive artificial intelligence (AI) agent in the teaching of oral and maxillofacial surgery. Methods Fourth-year undergraduate students enrolled at West China School of Stomatology, Sichuan University, from September 2024 to June 2025 were included. Students were randomly assigned by class into two groups: an AI-assisted teaching group (experimental group) that utilized a voice-interactive AI agent, and a traditional face-to-face teaching group (control group). Results A total of 227 students were enrolled, with 122 in the experimental group and 105 in the control group. The average final exam score of the experimental group was higher than that of the control group [(88.34±5.75) vs. (84.30±8.10) points, P<0.001]. The course attendance rate was similar between the experimental and control groups [97.30% (2849/2928) vs. 97.34% (2453/2520)]. However, participation in thought-provoking questions was higher in the experimental group than in the control group [92.08% (2696/2928) vs. 83.17% (2096/2520)]. All evaluations of course satisfaction in the experimental group were significantly higher than those in the control group (P<0.05). Conclusion Teaching of oral and maxillofacial surgery driven by a voice-interactive AI agent demonstrated markedly better outcomes compared with the traditional instructional model.

Citation： LI Zhixuan, ZHU Guiquan, LI Chunjie, GUO Zhiyong. Study on curriculum reconstruction of oral and maxillofacial surgery driven by a voice-interactive artificial intelligence agent. West China Medical Journal, 2026, 41(1): 108-112. doi: 10.7507/1002-0179.202512078 Copy

1.	Khakpaki A. Advancements in artificial intelligence transforming medical education: a comprehensive overview. Med Educ Online, 2025, 30(1): 2542807.
2.	梁竹梅, 李鮑, 趙冬梅. 以 AI 智能體重構學習過程——教學智能體創建案例分析與思考. 中國大學教學, 2025(9): 80-86.
3.	Ahsan Z. Integrating artificial intelligence into medical education: a narrative systematic review of current applications, challenges, and future directions. BMC Med Educ, 2025, 25(1): 1187.
4.	田建林, 段磊, 韓雪涼. 知識圖譜驅動的人工智能教學賦能一流人才培養實踐. 中國信息技術教育, 2025(19): 109-112.
5.	蔣友涵, 徐瑾劼. 意大利智能體賦能教師 AI 協同教學素養的多元建構與實踐探索. 上海教育科研, 2025(11): 28-33.
6.	陳金龍, 湯煒, 田衛東. 國內外口腔頜面外科教育培訓體系對比. 中國實用口腔科雜志, 2022, 15(1): 33-35, 40.
7.	Tozsin A, Ucmak H, Soyturk S, et al. The role of artificial intelligence in medical education: a systematic review. Surg Innov, 2024, 31(4): 415-423.
8.	Shaw K, Henning MA, Webster CS. Artificial intelligence in medical education: a scoping review of the evidence for efficacy and future directions. Med Sci Educ, 2025, 35(3): 1803-1816.
9.	Szatkowski JP, Druten E, Soni C, et al. Artificial intelligence in orthopaedic education: a narrative review. Ann Jt, 2025, 10: 34.
10.	王影, 周瑜, 李春潔, 等. 基于 AI 賦能宏環境下口腔醫學生在線課程應用模式的問卷調查研究. 遵義醫科大學學報, 2025, 48(9): 945-952.
11.	羅淼, 蔡維霞. 教學智能體的發展脈絡、教育紓困與潛在風險. 武漢商學院學報, 2025, 39(5): 93-96.
12.	Shah SV. Accuracy, consistency, and hallucination of large language models when analyzing unstructured clinical notes in electronic medical records. JAMA Netw Open, 2024, 7(8): e2425953.
13.	張澍, 孟列素, 劉進軍, 等. DeepSeek 進課堂——AI 智能體在器官系統整合課程教學中的應用探索與思考. 中國醫學教育技術, 2025, 39(4): 432-436.
14.	韋毅, 黃仁杰. 基于 AI 思政智能體的外語類高校思政課教學育人傳播路徑探索. 傳播與版權, 2025(18): 98-101.
15.	Knopp MI, Warm EJ, Weber D, et al. AI-enabled medical education: threads of change, promising futures, and risky realities across four potential future worlds. JMIR Med Educ, 2023, 9: e50373.
16.	Abd-Alrazaq A, AlSaad R, Alhuwail D, et al. Large language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ, 2023, 9: e48291.
17.	殷寶媛, 唐瑀晗, 吳戀, 等. 教育智能體支持人機協同教學: 數智時代教學的新形態. 吉林師范大學學報(人文社會科學版), 2025, 53(3): 67-75.
18.	楊鴻, 周霞. 生成式人工智能在呼吸內科的應用進展. 數理醫藥學雜志, 2025, 38(1): 60-66.

1. Khakpaki A. Advancements in artificial intelligence transforming medical education: a comprehensive overview. Med Educ Online, 2025, 30(1): 2542807.
2. 梁竹梅, 李鮑, 趙冬梅. 以 AI 智能體重構學習過程——教學智能體創建案例分析與思考. 中國大學教學, 2025(9): 80-86.
3. Ahsan Z. Integrating artificial intelligence into medical education: a narrative systematic review of current applications, challenges, and future directions. BMC Med Educ, 2025, 25(1): 1187.
4. 田建林, 段磊, 韓雪涼. 知識圖譜驅動的人工智能教學賦能一流人才培養實踐. 中國信息技術教育, 2025(19): 109-112.
5. 蔣友涵, 徐瑾劼. 意大利智能體賦能教師 AI 協同教學素養的多元建構與實踐探索. 上海教育科研, 2025(11): 28-33.
6. 陳金龍, 湯煒, 田衛東. 國內外口腔頜面外科教育培訓體系對比. 中國實用口腔科雜志, 2022, 15(1): 33-35, 40.
7. Tozsin A, Ucmak H, Soyturk S, et al. The role of artificial intelligence in medical education: a systematic review. Surg Innov, 2024, 31(4): 415-423.
8. Shaw K, Henning MA, Webster CS. Artificial intelligence in medical education: a scoping review of the evidence for efficacy and future directions. Med Sci Educ, 2025, 35(3): 1803-1816.
9. Szatkowski JP, Druten E, Soni C, et al. Artificial intelligence in orthopaedic education: a narrative review. Ann Jt, 2025, 10: 34.
10. 王影, 周瑜, 李春潔, 等. 基于 AI 賦能宏環境下口腔醫學生在線課程應用模式的問卷調查研究. 遵義醫科大學學報, 2025, 48(9): 945-952.
11. 羅淼, 蔡維霞. 教學智能體的發展脈絡、教育紓困與潛在風險. 武漢商學院學報, 2025, 39(5): 93-96.
12. Shah SV. Accuracy, consistency, and hallucination of large language models when analyzing unstructured clinical notes in electronic medical records. JAMA Netw Open, 2024, 7(8): e2425953.
13. 張澍, 孟列素, 劉進軍, 等. DeepSeek 進課堂——AI 智能體在器官系統整合課程教學中的應用探索與思考. 中國醫學教育技術, 2025, 39(4): 432-436.
14. 韋毅, 黃仁杰. 基于 AI 思政智能體的外語類高校思政課教學育人傳播路徑探索. 傳播與版權, 2025(18): 98-101.
15. Knopp MI, Warm EJ, Weber D, et al. AI-enabled medical education: threads of change, promising futures, and risky realities across four potential future worlds. JMIR Med Educ, 2023, 9: e50373.
16. Abd-Alrazaq A, AlSaad R, Alhuwail D, et al. Large language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ, 2023, 9: e48291.
17. 殷寶媛, 唐瑀晗, 吳戀, 等. 教育智能體支持人機協同教學: 數智時代教學的新形態. 吉林師范大學學報(人文社會科學版), 2025, 53(3): 67-75.
18. 楊鴻, 周霞. 生成式人工智能在呼吸內科的應用進展. 數理醫藥學雜志, 2025, 38(1): 60-66.

West China Medical Journal

Study on curriculum reconstruction of oral and maxillofacial surgery driven by a voice-interactive artificial intelligence agent

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content