人工智能融入《牙周病学》教学的探究
Exploration on the Integration of Artificial Intelligence to the Teaching of Periodontology
DOI: 10.12677/ces.2024.1212889, PDF,  被引量    科研立项经费支持
作者: 陈玮玉, 刘红蕊*：山东大学齐鲁医学院，口腔医学院，山东 济南
关键词: 人工智能；牙周病学；医学教育；牙周医学；Artificial Intelligence； Periodontology； Medical Education； Periodontal Medicine
摘要: 全面推进人工智能技术在《牙周病学》教学中的应用，对于培养现代口腔医学生的专业技能、创新思维和临床能力具有重要作用，这不仅符合国家对牙周专业人才提出的新标准，而且有助于学生适应数字化时代对医学人才的新需求。本文探讨了人工智能在《牙周病学》教学中的意义、目标、实施途径、现状及解决方案，旨在提高口腔牙周病学医学生的诊断能力、治疗技能和终身学习能力，以适应未来牙周病医疗领域的发展需求。
Abstract: Comprehensively promoting the application of artificial intelligence technology in the teaching of “Periodontology” plays an important role in cultivating the professional skills, innovative thinking, and clinical abilities of modern dental students. This not only meets the new standards set by the country for periodontal professionals, but also helps students adapt to the new demands for medical talents in the digital age. This article explores the significance, goals, implementation approaches, current situation, and solutions of artificial intelligence in the teaching of “Periodontology”, aiming to improve the diagnostic ability, treatment skills, and lifelong learning ability of medical students in oral and periodontal diseases, in order to meet the development needs of the future periodontal disease medical field.
文章引用：陈玮玉, 刘红蕊. 人工智能融入《牙周病学》教学的探究[J]. 创新教育研究, 2024, 12(12): 261-267. https://doi.org/10.12677/ces.2024.1212889

参考文献

[1] Zhang, X., Wang, X., Wu, J., Wang, M., Hu, B., Qu, H., et al. (2022) The Global Burden of Periodontal Diseases in 204 Countries and Territories from 1990 to 2019. Oral Diseases, 30, 754-768. [Google Scholar] [CrossRef] [PubMed]
[2] Nascimento, G.G., Alves‐Costa, S. and Romandini, M. (2024) Burden of Severe Periodontitis and Edentulism in 2021, with Projections up to 2050: The Global Burden of Disease 2021 Study. Journal of Periodontal Research, 59, 823-867. [Google Scholar] [CrossRef] [PubMed]
[3] Zhang, Q., Kreulen, C.M., Witter, D.J. and Creugers, N.H. (2007) Oral Health Status and Prosthodontic Conditions of Chinese Adults: A Systematic Review. The International Journal of Prosthodontics, 20, 567-572.
[4] 李畅, 黄翠, 杨宏业. 人工智能在口腔临床诊疗中的应用进展[J]. 口腔疾病防治, 2022, 30(11): 821-826.
[5] 王琰琳, 李刚. 人工智能在口腔疾病影像诊断中的研究进展[J]. 口腔疾病防治, 2022, 30(11): 816-820.
[6] 中国人工智能医疗相关政策文件荟萃[J]. 中华医学信息导报, 2023, 38(8): 4.
[7] Pitchika, V., Büttner, M. and Schwendicke, F. (2024) Artificial Intelligence and Personalized Diagnostics in Periodontology: A Narrative Review. Periodontology 2000, 95, 220-231. [Google Scholar] [CrossRef] [PubMed]
[8] 戴雨霖, 张新春. 人工智能在口腔修复诊疗中的应用与进展[J]. 中华口腔医学研究杂志电子版, 2024, 18(1): 65-69.
[9] Yadalam, P.K., Anegundi, R.V. and Ardila, C.M. (2024) Integrating Artificial Intelligence into Orthodontic Education and Practice. International Dental Journal, 74, 1463. [Google Scholar] [CrossRef] [PubMed]
[10] 刘洪臣. 人工智能口腔医学[J]. 中华口腔医学杂志, 2020, 55(12), 915-919.
[11] 中华口腔医学会牙周病学专业委员会. 口腔诊疗中的牙周基本检查评估规范[J]. 中华口腔医学杂志, 2021, 56(3): 238-243.
[12] 陈思诗, 曲杨. 人工智能辅助影像教学在口腔医学本科生全科思维培养中的应用研究[C]//中华口腔医学会口腔医学教育专业委员会. 2022年中华口腔医学会口腔医学教育专业委员会第十七次学术年会论文集. 广州: 中山大学光华口腔医学院牙体牙髓科, 2022: 1.
[13] 李艺, 汤振存, 张文云, 等. 数字化技术在牙周病学临床诊疗与基础研究中的应用与进展[J]. 牙体牙髓牙周病学杂志, 2024, 29(4): 230-239.
[14] 朱红标, 刘强冬, 曾子强, 娄伟明, 戴芳, 吴婧婷, 邓恬, 邓立彬, 宋莉. 基于口内数码照图像深度学习的牙周病早期筛查研究[J]. 口腔医学研究, 2022, 38(11): 1092-1095.
[15] 王振慧, 杨宏业. 虚拟仿真技术在口腔医学教育中的应用[J]. 口腔医学研究, 2022, 38(9): 811-814.
[16] 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.
[17] 董海涛, 赵继志, 郭春岚, 等. 口腔内科临床教学实践中医患沟通能力的培养[J]. 基础医学与临床, 2022, 42(9): 1478-1480.
[18] Li, C., Zhang, J., Abdul‐Masih, J., Zhang, S. and Yang, J. (2024) Performance of ChatGPT and Dental Students on Concepts of Periodontal Surgery. European Journal of Dental Education. [Google Scholar] [CrossRef] [PubMed]
[19] 曹雪萌, 史静寰, 张蓝文. 中国一流大学个性化教育的理论基础与现实困境[J]. 复旦教育论坛, 2024, 22(3): 5-12.
[20] 刘静波, 高靓, 李琛, 等. 基于雨课堂的混合式教学在本科生牙周病学教学中的应用研究[J]. 中华医学教育探索杂志, 2020, 19(9): 1021-1025.
[21] 孔晨, 刘悦, 王雷. 牙周病学学科前沿融入本科生教学的模式探索[J]. 高校医学教学研究(电子版), 2021, 11(4): 26-30.
[22] Su, J.H., Xu, J.Q., Wu, S.J., Wan, W.B. and Shi, K. (2021) Exploration and Practice of Cultivating Graduate Students’ Innovative Ability under Research-Empowered Teaching Model. Degree and Graduate Education, 2, 36-39.
[23] 周文辉, 赵金敏. ChatGPT对研究生创新能力培养的价值与挑战[J]. 高校教育管理, 2024, 18(2): 42-52.
[24] Delgado‐Ruiz, R., Kim, A.S., Zhang, H., Sullivan, D., Awan, K.H. and Stathopoulou, P.G. (2024) Generative Artificial Intelligence (Gen AI) in Dental Education: Opportunities, Cautions, and Recommendations. Journal of Dental Education. [Google Scholar] [CrossRef] [PubMed]
[25] 翟佳燚, 陆媛, 钱曙蕾, 等. 同济大学全科硕士研究生临床诊疗思维课程设计[J]. 中国全科医学, 2023, 26(25): 3202-3206.
[26] Revilla-León, M., Gómez-Polo, M., Barmak, A.B., Inam, W., Kan, J.Y.K., Kois, J.C., et al. (2023) Artificial Intelligence Models for Diagnosing Gingivitis and Periodontal Disease: A Systematic Review. The Journal of Prosthetic Dentistry, 130, 816-824. [Google Scholar] [CrossRef] [PubMed]
[27] Monterubbianesi, R., Tosco, V., Vitiello, F., Orilisi, G., Fraccastoro, F., Putignano, A., et al. (2022) Augmented, Virtual and Mixed Reality in Dentistry: A Narrative Review on the Existing Platforms and Future Challenges. Applied Sciences, 12, Article 877. [Google Scholar] [CrossRef] 
[28] 张宝平, 何璐璐, 庞晓婵, 等. 虚拟仿真系统在口腔局部麻醉教学中应用效果评价[J]. 中华口腔医学研究杂志(电子版), 2020, 14(2): 121-127.
[29] Li, Y., Ye, H., Ye, F., Liu, Y., Lv, L., Zhang, P., et al. (2021) The Current Situation and Future Prospects of Simulators in Dental Education. Journal of Medical Internet Research, 23, e23635. [Google Scholar] [CrossRef] [PubMed]
[30] Putra, R.H., Doi, C., Yoda, N., Astuti, E.R. and Sasaki, K. (2022) Current Applications and Development of Artificial Intelligence for Digital Dental Radiography. Dentomaxillofacial Radiology, 51, Article ID: 20210197. [Google Scholar] [CrossRef] [PubMed]
[31] Jaworski, A., Jasiński, D., Sławińska, B., Błecha, Z., Jaworski, W., Kruplewicz, M., et al. (2024) GPT-4o vs. Human Candidates: Performance Analysis in the Polish Final Dentistry Examination. Cureus, 16, e68813. [Google Scholar] [CrossRef] [PubMed]
[32] Sabri, H., Saleh, M.H.A., Hazrati, P., Merchant, K., Misch, J., Kumar, P.S., et al. (2024) Performance of Three Artificial Intelligence (AI)‐Based Large Language Models in Standardized Testing; Implications for AI‐Assisted Dental Education. Journal of Periodontal Research. [Google Scholar] [CrossRef] [PubMed]
[33] Sun, L., Du, X., Kuang, H., Sun, H., Luo, W. and Yang, C. (2023) Stem Cell-Based Therapy in Periodontal Regeneration: A Systematic Review and Meta-Analysis of Clinical Studies. BMC Oral Health, 23, Article No. 492. [Google Scholar] [CrossRef] [PubMed]
[34] Brindha, and Devi, R. (2018) Low-Level Laser Therapy in Periodontics: A Review Article. Journal of Academy of Dental Education, 4, 12-16. [Google Scholar] [CrossRef] 
[35] Deng, Y., Liang, Y. and Liu, X. (2022) Biomaterials for Periodontal Regeneration. Dental Clinics of North America, 66, 659-672. [Google Scholar] [CrossRef] [PubMed]
[36] 王晓璇, 曾宇, 张爱娟, 等. 互联网平台辅助的混合式教学方式在牙周病学实验教学中的应用[J]. 中华医学教育杂志, 2022, 42(8): 728-731.
[37] Karadaghy, O.A., Shew, M., New, J. and Bur, A.M. (2019) Development and Assessment of a Machine Learning Model to Help Predict Survival among Patients with Oral Squamous Cell Carcinoma. JAMA Otolaryngology—Head & Neck Surgery, 145, 1115-1120. [Google Scholar] [CrossRef] [PubMed]
[38] Thorat, V., Rao, P., Joshi, N., Talreja, P. and Shetty, A.R. (2024) Role of Artificial Intelligence (AI) in Patient Education and Communication in Dentistry. Cureus, 16, e59799.
[39] Claman, D. and Sezgin, E. (2024) Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models. JMIR Medical Education, 10, e52346-e52346. [Google Scholar] [CrossRef] [PubMed]
[40] 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(10): 891-895.

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