Lin Lizhuo, Tang Bojun, Cao Lingyun, Yan Jiarong, Zhao Tingting, Hua Fang, He Hong
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School and Hospital of Stomatology, Wuhan University, Wuhan, China; Center for Dentofacial Development and Sleep Medicine, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Am J Orthod Dentofacial Orthop. 2023 Oct;164(4):e97-e105. doi: 10.1016/j.ajodo.2023.07.006. Epub 2023 Aug 9.
Artificial intelligence (AI) developed rapidly in orthodontics, and AI-based cephalometric applications have been adopted. This study aimed to assess AI-assisted cephalometric technologies related knowledge, experience, and attitude among orthodontists and orthodontic students; describe their subject view of the applications and related technologies in orthodontics; and identify associated factors.
An online cross-sectional survey based on a professional tool (www.wjx.cn) was performed from October 11-17, 2022. Participants were recruited with a purposive and snowball sampling approach. Data was collected and analyzed with descriptive statistics, chi-square tests, and multivariable generalized estimating equations.
Four hundred eighty valid questionnaires were collected and analyzed; 68.8% of the respondents agreed that AI-based cephalometric applications would replace manual and semiautomatic approaches. Practitioners using AI-assisted applications (87.5%) spent less time in cephalometric analysis than the other groups using other approaches, and 349 (72.7%) respondents considered AI-based applications could assist in obtaining more accurate analysis results. Lectures and training programs (56.0%) were the main sources of respondents' knowledge about AI. Knowledge level was associated with experience in AI-related clinical or scientific projects (P <0.001). Most respondents (88.8%) were interested in future AI applications in orthodontics.
Respondents are optimistic about the future of AI in orthodontics. AI-assisted cephalometric applications were believed to make clinical diagnostic analysis more convenient and straightforward for practitioners and even replace manual and semiautomatic approaches. The education and promotion of AI should be strengthened to elevate orthodontists' understanding.
人工智能（AI）在正畸学中发展迅速，基于 AI 的头影测量应用已经得到采用。本研究旨在评估正畸医生和正畸学生对 AI 辅助头影测量技术的相关知识、经验和态度；描述他们对正畸中应用和相关技术的主观看法；并确定相关因素。
2022 年 10 月 11 日至 17 日，采用基于专业工具（www.wjx.cn）的在线横断面调查。采用目的性和滚雪球抽样方法招募参与者。使用描述性统计、卡方检验和多变量广义估计方程对数据进行收集和分析。
共收集并分析了 480 份有效问卷；68.8%的受访者认为基于 AI 的头影测量应用将取代手动和半自动方法。使用 AI 辅助应用的从业者（87.5%）在头影测量分析上花费的时间少于使用其他方法的其他组，349 名（72.7%）受访者认为基于 AI 的应用可以帮助获得更准确的分析结果。讲座和培训课程（56.0%）是受访者了解 AI 的主要来源。知识水平与 AI 相关临床或科学项目的经验有关（P<0.001）。大多数受访者（88.8%）对未来正畸领域的 AI 应用感兴趣。
受访者对 AI 在正畸学中的未来持乐观态度。AI 辅助头影测量应用被认为使从业者的临床诊断分析更加方便和直接，甚至可以取代手动和半自动方法。应加强 AI 的教育和推广，以提高正畸医生的认识。
