Ghasemian Amir, Salehi Mehrdad, Ghavami Vahid, Yari Mohammadreza, Tabatabaee Seyed Saeed, Moghri Javad
Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran.
Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran.
BMC Med Educ. 2025 May 19;25(1):725. doi: 10.1186/s12909-025-07220-9.
AI has the potential to enhance diagnostics, optimize treatment planning, and improve patient care. However, concerns remain regarding professional autonomy, ethical considerations, and the need for adequate training. This research aims to address the gap in understanding how Iranian dental students perceive AI in their future practice.
A cross-sectional study was conducted among 235 dental students from different academic years who were selected through stratified sampling. A validated questionnaire with a high Cronbach's alpha coefficient (0.90) was used to assess students' attitudes toward AI. Data were analyzed via descriptive statistics, with a chi-square test examining associations between demographic factors and AI perceptions.
Overall, 80.4% agreed that AI would significantly advance dentistry, particularly in diagnostic applications such as radiographic analysis (75.7%) and periodontal disease detection (78.7%). However, skepticism persisted regarding AI replacing human professionals, with nearly 50% disagreeing that AI could replace dentists and with only 31.1% viewing AI as a definitive diagnostic tool. The attitudes varied by demographic factors, with female students favoring AI inclusion in education and male students exhibiting greater confidence in the diagnostic capabilities of AI. Compared with general dentistry students, specialized students were more confident in AI-assisted implant planning.
Dental students hold a generally positive view of AI's role in dentistry while maintaining caution about its limitations. Integrating AI into dental curricula is essential for addressing knowledge gaps and preparing students for AI-enhanced practice. Future research should balance technological advancements with ethical considerations to ensure that AI effectively contributes to improved dental education and patient care.
Not applicable.
人工智能有潜力提升诊断水平、优化治疗方案并改善患者护理。然而，对于专业自主性、伦理考量以及充分培训的需求等问题仍存在担忧。本研究旨在填补在了解伊朗牙科学生如何看待人工智能在其未来实践中的作用方面的空白。
通过分层抽样从不同学年的235名牙科学生中进行了一项横断面研究。使用具有高克朗巴赫α系数（0.90）的经过验证的问卷来评估学生对人工智能的态度。通过描述性统计分析数据，使用卡方检验来检验人口统计学因素与对人工智能的看法之间的关联。
总体而言，80.4%的学生同意人工智能将显著推动牙科发展，特别是在诸如放射影像分析（75.7%）和牙周疾病检测（78.7%）等诊断应用方面。然而，对于人工智能取代人类专业人员仍存在怀疑态度，近50%的学生不同意人工智能可以取代牙医，只有31.1%的学生将人工智能视为确定性的诊断工具。态度因人口统计学因素而异，女生更倾向于在教育中纳入人工智能，而男生对人工智能的诊断能力表现出更大的信心。与普通牙科专业学生相比，专科专业学生对人工智能辅助种植计划更有信心。
牙科学生对人工智能在牙科中的作用总体持积极看法，同时对其局限性保持谨慎。将人工智能纳入牙科课程对于弥补知识差距以及使学生为人工智能增强的实践做好准备至关重要。未来的研究应在技术进步与伦理考量之间取得平衡，以确保人工智能有效地促进改善牙科教育和患者护理。
不适用。
