China Journal of Oral and Maxillofacial Surgery ›› 2025, Vol. 23 ›› Issue (1): 72-76.doi: 10.19438/j.cjoms.2025.01.013

• Dental Education • Previous Articles     Next Articles

The application of artificial intelligence-assisted tracing method in orthognathic cephalometric measurement teaching

XU Xin-xin1,2, LI Xiao1   

  1. 1. Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology. Shanghai 200011;
    2. Jiangsu Provincial Stomatological Hospital. Nanjing 210000, Jiangsu Province, China
  • Received:2024-08-14 Revised:2024-09-04 Online:2025-01-20 Published:2025-01-23

Abstract: PURPOSE: To evaluate the application effect of artificial intelligence-assisted scanning method in orthognathic cephalometry teaching. METHODS: From June 2023 to June 2024, a total of 24 fourth-year undergraduate students who practiced in the Second Dental Center, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were selected as the study objects, and randomly divided into the experimental group and control group, with 12 students in each group. Based on the contents of the chapter "malocclusion", the experimental group used artificial intelligence to measure the cephalic image of X-ray films, while the control group used traditional method to measure the cephalic image of X-ray films. The results of the two teaching methods were evaluated by means of questionnaire survey, theoretical test and cephalometric operation test. SPSS 27.0 software package was used for data analysis. RESULTS: The students of experimental group were better than those of the control group in their understanding of theoretical knowledge, results of case analysis, and the differences were statistically significant(P<0.05). The accuracy of cephalometric measurement in the experimental group was higher than that in the control group, and the cephalometric measurement time in the experimental group was less than that in the control group, and the difference was statistically significant(P<0.05). CONCLUSIONS: Artificial intelligence-assisted cephalometric measurement can significantly improve the accuracy and speed of projection measurement, help students understand the theoretical learning such as landmarks, enhance the teaching effect, and students have a high degree of recognition.

Key words: Artificial intelligence, Orthognathic teaching, Orthodontics, Cephalometric measurement

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