AI自动定点技术辅助头影测量教学的应用评价

doi:10.3969/j.issn.2096-045X.2025.05.003

医学教育管理 ›› 2025, Vol. 11 ›› Issue (5): 510-515.doi: 10.3969/j.issn.2096-045X.2025.05.003

AI自动定点技术辅助头影测量教学的应用评价

黄捷超¹, 吴玉琼², 唐朝阳¹, 陈思屹¹, 詹凯期¹, 陈津禾¹, 张善勇¹, 杨驰¹, 樊林峰³, 马志贵^1*

1.上海交通大学医学院附属第九人民医院口腔外科，上海 200011； 2.上海交通大学医学院附属第九人民医院修复科，上海 200011； 3.上海交通大学医学院附属第九人民医院口腔放射科，上海 200011

收稿日期:2025-03-12 修回日期:2025-04-14 出版日期:2025-10-20 发布日期:2025-11-07
通讯作者: 马志贵 E-mail:mazhigui2007@126.com
基金资助:
1.上海交通大学医学院教师发展培训项目（JFXM202505）；2.上海交通大学医学院思政教育研究基金项目（SZ-2023-11）；3.上海市高等教育学会立项课题（1QYB24068）；4.上海交通大学医学院附属第九人民医院院级教医学教育研究项目（JYJX03202310, JYJX03202414）；5.上海交通大学医学院附属第九人民医院教学激励团队计划（JXJL-2023-3）

Evaluation of AI-assisted automated landmark detection in cephalometric teaching for orthodontics

Huang Jiechao¹, Wu Yuqiong², Tang Chaoyang¹, Chen Siyi¹, Zhan Kaiqi¹, Chen Jinhe¹, Zhang Shanyong¹, Yang Chi¹, Fan Linfeng³, Ma Zhigui^1*

1. Department of Stomatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 2. Department of Prosthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 3. Department of Oral Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

Received:2025-03-12 Revised:2025-04-14 Online:2025-10-20 Published:2025-11-07

摘要/Abstract

摘要： 目的　探讨人工智能（artificial intelligence， AI）自动定点技术辅助正畸头影测量分析教学的应用效果。方法　选取上海交通大学医学院2022级口腔五年制本科生20名，采用Uceph数字化头影测量软件进行示教和练习，随机分为试验组与对照组，每组10名。试验组使用AI自动定点技术辅助头影测量，对照组为人工定点方式，每位学生独立完成10份头影测量分析并提交相关调查问卷。结果　与教师的基准值比较，SNA与SN-MP在试验组的差值均显著小于对照组，差异有统计学意义（P＜0.05）。问卷调查结果显示，试验组学生评分为（8.48±0.59）分，对照组评分为（6.26±1.21）分，两组比较差异有统计学意义（P＜0.001）。学生评价AI自动定点法主要的优点体现为“可提高课堂趣味性”“促进师生交流与互动” “对颅颌面结构认识更为清晰，更为准确”。结论　AI自动定点辅助头影测量分析技术取得了很好的教学效果和学生认可度，值得进一步完善及推广。

关键词: 头影测量, 人工智能, 自动定点, 口腔正畸, 实践教学, 教学评价

Abstract: Objective　To explore the application effect of artificial intelligence (AI) automated landmark recognition technology in assisting the teaching of orthodontic cephalometric analysis.Methods　Twenty 5-year program undergraduate students majoring in stomatology from Shanghai Jiao Tong University School of Medicine were selected and divided into traditional and AI-assisted groups, with 10 students in each group. The Uceph digital cephalometric software was used to perform the orthodontic cephalometry in both groups. Manual landmark detection was used in the traditional group and AI automated landmark detection technology was added after manual detection in the AI-assisted group. After training, each student independently completed 10 cephalometric analyses and relevant questionnaires.Results　Compared with the teacher's reference value, the measurement differences of SNA and SN-MP were significantly smaller in the AI-assisted approach than those in the traditional group, the difference was statistically significant (P＜0.05). The questionnaire results showed that the score of the AI-assisted automated landmark detection (8.48±0.59) points was higher than that of the traditional group (6.26±1.21) points, which was statistically significant (P＜0.001). The advantages of the AI automated landmark detection method as evaluated by the students were mainly "improving classroom interest", "promoting the communication and interaction between teachers and students", and "understanding the craniomaxillofacial structure more clearly and accurately".Conclusion　The technique of AI-assisted automated landmark detection has achieved good teaching effects in cephalometric practice teaching and student acceptance, which is worthy of further improvement and promotion.

Key words: cephalometric analysis, artificial intelligence, automated landmark detection, orthodontics, practice teaching, teaching evaluation

中图分类号:

R19
G640

黄捷超, 吴玉琼, 唐朝阳, 陈思屹, 詹凯期, 陈津禾, 张善勇, 杨驰, 樊林峰, 马志贵. AI自动定点技术辅助头影测量教学的应用评价[J]. 医学教育管理, 2025, 11(5): 510-515.

Huang Jiechao, Wu Yuqiong, Tang Chaoyang, Chen Siyi, Zhan Kaiqi, Chen Jinhe, Zhang Shanyong, Yang Chi, Fan Linfeng, Ma Zhigui. Evaluation of AI-assisted automated landmark detection in cephalometric teaching for orthodontics[J]. Medical Education Management, 2025, 11(5): 510-515.

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AI自动定点技术辅助头影测量教学的应用评价

Evaluation of AI-assisted automated landmark detection in cephalometric teaching for orthodontics

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