Int J Stomatol ›› 2026, Vol. 53 ›› Issue (1): 134-142.doi: 10.7518/gjkq.2026112

• Education and teaching • Previous Articles    

Role reconstruction of dental teachers in the era of artificial intelligence

Chao Huang(),Jia Shi,Peiyue Pan,Le Yu,Tian Tang()   

  1. State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
  • Received:2025-06-10 Revised:2025-08-05 Online:2026-01-01 Published:2025-12-31
  • Contact: Tian Tang E-mail:huangchao2021321@163.com;tangtian05@163.com
  • Supported by:
    Natural Science Foundation of Sichuan Province(2024NSFSC0237)

Abstract:

The application of artificial intelligence (AI) in education (especially dental education) has significantly facilitated the transformation of dental education and promoted the shift from traditional dental teaching to “digital intelligence” teaching. Different from traditional teaching models, AI-assisted dental teaching brings many opportunities for dental educators but new and high demands regarding teachers’ role positioning. In the era of AI, the role of dental educators is no longer that of a simple knowledge transmitter, as in the traditional models, but must be transformed to new roles positioned to adapt to the future intelligent development of dental education. This study reviews the role reconstruction of dental educators under the AI-assisted dental teaching model and provides a theoretical reference for promoting the rapid development of dental education, overall teaching quality, and breakthrough and innovation of teaching methods.

Key words: artificial intelligence, digital intelligent, dental education, dental educator, role reconstruction

CLC Number: 

  • G4

TrendMD: 

Fig 1

Traditional dental teaching model (left) and AI-assisted dental teaching model (right)"

Fig 2

Role reconstruction of dental teachers in the era of artificial intelligence"

[1] 黄慧静, 周倩文, 罗丹, 等. 数智化背景下高职院校智慧学习模型构建的研究——以口腔医学专业为例[J]. 现代职业教育, 2024(32): 133-136.
Huang HJ, Zhou QW, Luo D, et al. Research on the construction of intelligent learning model in higher vocational colleges under the background of digital intelligence-taking stomatology as an example[J]. Mod Vocat Edu, 2024(32): 133-136.
[2] 王慧明. 展望口腔4.0时代:未来的口腔医学应用将从数字化走向智能化[J]. 科技与金融, 2019(4): 11-12.
Wang HM. Looking forward to the era of stomato-logy 4.0: the future application of stomatology will move from digitization to intelligence[J]. Tech Finan, 2019(4): 11-12.
[3] 刘宝刚, 李玉芳, 王晓萌, 等. 人工智能在口腔疾病诊断中的研究进展[J]. 口腔颌面修复学杂志, 2025, 26(2): 149-154.
Liu BG, Li YF, Wang XM, et al. Research progress of artificial intelligence in the diagnosis of oral di-seases[J]. Chin J Prosthod, 2025, 26(2): 149-154.
[4] 郭英胜, 邓蔚, 徐尾霞, 等. 数字化和人工智能技术在口腔医学中的应用进展[J]. 中国现代医生, 2024, 62(31): 121-125.
Guo YS, Deng W, Xu WX, et al. Advances in the application of digital and artificial intelligence techno-logy in stomatology[J]. Mod Chin Doc, 2024, 62(31): 121-125.
[5] 赵一姣, 张馨月, 张耀鹏, 等. 口腔数字化技术进修教学模式的探索和应用[J]. 中国实用口腔科杂志, 2023, 16(1): 45-49.
Zhao YJ, Zhang XY, Zhang YP, et al. Exploration and application of advanced teaching mode of oral digital technology[J]. Chin J Pract Stomatol, 2023, 16(1): 45-49.
[6] 姜华, 黄东宗, 李鸿波, 等. 人工智能在口腔教学中的应用探讨[J]. 口腔颌面修复学杂志, 2021, 22(4): 293-298.
Jiang H, Huang DZ, Li HB, et al. Application of artificial intelligence in oral teaching[J]. Chin J Pros-thod, 2021, 22(4): 293-298.
[7] 赵伟, 罗岚, 张锦雀, 等. 基于案例的协作学习数字化互动教学模式在口腔美学教育中的应用[J]. 中国实用口腔科杂志, 2023, 16(3): 347-351.
Zhao W, Luo L, Zhang JQ, et al. Application of case-based collaborative learning digital interactive teaching model in oral aesthetics education[J]. Chin J Pract Stomatol, 2023, 16(3): 347-351.
[8] 周学东, 张凌琳, 叶玲, 等. 虚拟仿真技术在口腔医学教育领域的应用[J]. 实验技术与管理, 2014, 31(5): 4-6, 16.
Zhou XD, Zhang LL, Ye L, et al. Application of virtual simulation technology in the field of stomatology education[J]. Exp Technol Manag, 2014, 31(5): 4-6, 16.
[9] Yang JM, Chen BJ, Li RY, et al. Artificial intelligence in medical metaverse: applications, challen-ges, and future prospects[J]. Curr Med Sci, 2024, 44(6): 1113-1122.
[10] Xu C, Zhao LY, Ye CS, et al. The application of machine learning in clinical microbiology and infectious diseases[J]. Front Cell Infect Microbiol, 2025, 15: 1545646.
[11] Xu Y, Quan RX, Xu WT, et al. Advances in medi-cal image segmentation: a comprehensive review of traditional, deep learning and hybrid approaches[J]. Bioengineering (Basel), 2024, 11(10): 1034.
[12] Gao YX, Jiang Y, Peng YH, et al. Medical image segmentation: a comprehensive review of deep lear-ning-based methods[J]. Tomography, 2025, 11(5): 52.
[13] Moulaei K, Yadegari A, Baharestani M, et al. Gene-rative artificial intelligence in healthcare: a scoping review on benefits, challenges and applications[J]. Int J Med Inform, 2024, 188: 105474.
[14] Esmaeilyfard R, Bonyadifard H, Paknahad M. Dental caries detection and classification in CBCT ima-ges using deep learning[J]. Int Dent J, 2024, 74(2): 328-334.
[15] Chen ZC, Liu Y, Xie X, et al. Influence of bone density on the accuracy of artificial intelligence-gui-ded implant surgery: an in vitro study[J]. J Prosthet Dent, 2024, 131(2): 254-261.
[16] Leonardi R, Vaiid N. Artificial intelligence in orthodontics: concerns, conjectures, and ethical dilemmas[J]. Int Dent J, 2025, 75(1): 20-22.
[17] 严慧娜, 刘瑞云, 李颖, 等. 机器学习临床决策支持系统在ICU中应用的研究进展[J]. 护理研究, 2025, 39(7): 1199-1205.
Yan HN, Liu RY, Li Y, et al. Research progress on the application of machine learning clinical decision support system in ICU[J]. Nurs Res, 2025, 39(7): 1199-1205.
[18] 郭晓奎. 对新医科的理解与认识[J]. 中国大学教学, 2023(7): 4-10, 51.
Guo XK. Understanding and cognition of new medicine[J]. Chin Univ Teach, 2023(7): 4-10, 51.
[19] 教育部高等教育司. 教育部高等教育司关于公布首批“人工智能+高等教育”应用场景典型案例的通知[EB/OL]. [2024-04-12]. .
html.
Ministry of Education, Higher Education Department. Notification on the publication of the first batch of typical application scenarios for “AI + higher education”[EB/OL]. [2024-04-12].\|07
[20] html.
[21] 史雨林, 李刚, 侯晓冲, 等. 我国数字化口腔医学教育发展现状研究[J]. 口腔医学, 2024, 44(1): 1-5.
Shi YL, Li G, Hou XC, et al. Study on the development status of digital stomatology education in China[J]. Stomatology, 2024, 44(1): 1-5.
[22] Hanna MG, Pantanowitz L, Dash R, et al. Future of artificial intelligence: machine learning trends in pathology and medicine[J]. Mod Pathol, 2025, 38(4): 100705.
[23] Islam NM, Laughter L, Sadid-Zadeh R, et al. Adop-ting artificial intelligence in dental education: a model for academic leadership and innovation[J]. J Dent Educ, 2022, 86(11): 1545-1551.
[24] Uribe SE, Maldupa I, Kavadella A, et al. Artificial intelligence chatbots and large language models in dental education: worldwide survey of educators[J]. Eur J Dent Educ, 2024, 28(4): 865-876.
[25] 邹岩, 周维, 毛梦莹, 等. 基于虚拟仿真技术的进阶式手部技能训练在口腔医学专业本科生教学中的应用[J]. 口腔材料器械杂志, 2024, 33(2): 116-119.
Zou Y, Zhou W, Mao MY, et al. Application of advanced hand skill training based on virtual simulation technology in undergraduate teaching of stomatology[J]. J Oral Mater Dev, 2024, 33(2): 116-119.
[26] 刘翼兴, 刘哲, 陈娅飞, 等. ChatGPT在口腔医学教育中的应用探讨[J]. 口腔材料器械杂志, 2025, 34(1): 56-60.
Liu YX, Liu Z, Chen YF, et al. Application of ChatGPT in Stomatology Education[J]. J Oral Mater Dev, 2025, 34(1): 56-60.
[27] 王茹, 李毅恒, 孙世仁, 等. 人工智能在医学教育中的应用前景与挑战[J]. 中国医学教育技术, 2025, 39(3): 1-7.
Wang R, Li YH, Sun SR, et al. The application prospects and challenges of artificial intelligence in me-dical education[J]. China Med Edu Technol, 2025, 39(3): 1-7.
[28] 黄凤兰, 张铁辉. 人工智能背景下医学教师的教学素养提升[J]. 医学教育研究与实践, 2023, 31(1): 7-10.
Huang FL, Zhang TH. Improvement of teaching li-teracy of medical teachers under the background of artificial intelligence[J]. Med Edu Res Pract, 2023, 31(1): 7-10.
[29] 王启帆, 于钦明. 人工智能嵌入医学教育的伦理风险及其应对[J]. 卫生软科学, 2024, 38(7): 71-74.
Wang QF, Yu QM. The ethical risks of artificial intelligence embedded in medical education and its response[J]. Soft Sci Heal, 2024, 38(7): 71-74.
[30] Li C, Zhang JM, Abdul-Masih J, et al. Performance of ChatGPT and dental students on concepts of pe-riodontal surgery[J]. Eur J Dent Educ, 2025, 29(1): 36-43.
[31] Luke WANV, Chong LS, Ban KH, et al. Is ChatGPT ‘ready’ to be a learning tool for medical undergra-duates and will it perform equally in different subjects? Comparative study of ChatGPT performance in tutorial and case-based learning questions in phy-siology and biochemistry[J]. Med Teach, 2024, 46(11): 1441-1447.
[32] Laupichler MC, Aster A, Meyerheim M, et al. Medical students’ AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments[J]. BMC Med Educ, 2024, 24(1): 401.
[33] Park SH, Pinto-Powell R, Thesen T, et al. Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study[J]. Med Educ Online, 2024, 29(1): 2315684.
[34] 汪丽聪, 孙晓琪, 荣振华, 等. 基于斯蒂格勒技术思想的医学教师数智素养培育研究[J]. 医学与哲学, 2025, 46(2): 63-67.
Wang LC, Sun XQ, Rong ZH, et al. Research on the cultivation of medical teachers' mathematical intelligence literacy based on Stiegler's technical thought[J]. Med Philos, 2025, 46(2): 63-67.
[35] 刘成程, 寻萌, 韩蕾, 等. 人工智能推动医学教育改革的现状与展望[J]. 基础医学教育, 2024, 26(10): 890-894.
Liu CC, Xun M, Han L, et al. Status and prospect of artificial intelligence promoting medical education reform[J]. Basic Med Edu, 2024, 26(10): 890-894.
[36] 雷刚, 王和, 王顺宏, 等. 基于人工智能助手的教学领域探索——智能助教[J]. 教育教学论坛, 2025(4): 22-26.
Lei G, Wang H, Wang SH, et al. Exploration of teaching field based on artificial intelligence assistant-intelligent assistant[J]. Edu Forum, 2025(4): 22-26.
[37] Alkaissi H, McFarlane SI. Artificial hallucinations in ChatGPT: implications in scientific writing[J]. Cureus, 2023, 15(2): e35179.
[38] Aldukhail S. Mapping the landscape of generative language models in dental education: a comparison between ChatGPT and google bard[J]. Eur J Dent Educ, 2025, 29(1): 136-148.
[39] Revilla-León M, Gómez-Polo M, Vyas S, et al. Artificial intelligence applications in implant dentistry: a systematic review[J]. J Prosthet Dent, 2023, 129(2): 293-300.
[40] 苏凤, 梁红敏, 樊文星, 等. 医学人文教育现状相关研究的文献计量分析[J]. 医学教育研究与实践, 2022, 30(3): 266-269, 284.
Su F, Liang HM, Fan WX, et al. Bibliometric analysis of the research on the current situation of medical humanities education[J]. Med Edu Res Pract, 2022, 30(3): 266-269, 284.
[41] 刁渴珂, 单岩, 黄艺嘉, 等. 人工智能在医学教育应用中的伦理学问题分析[J]. 医学教育管理, 2023, 9(1): 122-126.
Diao KK, Shan Y, Huang YJ, et al. Analysis of ethical issues in the application of artificial intelligence in medical education[J]. Med Edu Manag, 2023, 9(1): 122-126.
[42] 刘三女牙, 刘盛英杰, 孙建文, 等. 智能教育发展中的若干关键问题[J]. 中国远程教育, 2021(4): 1-7.
Liu SNY, Liu SYJ, Sun JW, et al. Some key issues in the development of intelligent education[J]. Distan Edu China, 2021(4): 1-7.
[43] Lee H. The rise of ChatGPT: exploring its potential in medical education[J]. Anat Sci Educ, 2024, 17(5): 926-931.
[44] Wu JT, Shenoy ES, Carey EP, et al. ChatGPT: increasing accessibility for natural language processing in healthcare quality measurement[J]. Infect Control Hosp Epidemiol, 2024, 45(1): 9-10.
[45] Murdoch B. Privacy and artificial intelligence: challenges for protecting health information in a new era[J]. BMC Med Ethics, 2021, 22(1): 122.
[46] Wong RS, Ming LC, Raja Ali RA. The intersection of ChatGPT, clinical medicine, and medical education[J]. JMIR Med Educ, 2023, 9: e47274.
[47] Harrer S. Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine[J]. EBioMedicine, 2023, 90: 104512.
[48] Boscardin CK, Gin B, Golde PB, et al. ChatGPT and generative artificial intelligence for medical education: potential impact and opportunity[J]. Acad Med, 2024, 99(1): 22-27.
[49] Meszaros J, Minari J, Huys I. The future regulation of artificial intelligence systems in healthcare servi-ces and medical research in the European Union[J]. Front Genet, 2022, 13: 927721.
[50] 江哲涵, 奉世聪, 王维民. 人工智能生成内容在医学教育中的应用、挑战与展望[J]. 中国教育信息化, 2024, 30(8): 29-40.
Jiang ZH, Feng SC, Wang WM. Application, challenge and prospect of artificial intelligence genera-ted content in medical education[J]. Chin J ICT Edu, 2024, 30(8): 29-40.
[51] 巫灵爱, 钱国玲. AI机器人在医学教育中的应用优势、伦理困境及其应对[J]. 中国医学伦理学, 2025, 38(2): 187-194.
Wu LA, Qian GL. The application advantages, ethical dilemmas and countermeasures of AI robots in medical education[J]. Chin Med Ethic, 2025, 38(2): 187-194.
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