Ozbey Furkan, Yasa Yasin
Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ordu University, Ordu, 52200, Turkey.
BMC Med Educ. 2025 Jan 6;25(1):26. doi: 10.1186/s12909-024-06630-5.
Artificial intelligence (AI) has gained significant attention in dentistry due to its potential to revolutionize practice and improve patient outcomes. However, dentists' views and attitudes toward technology can affect the application of AI. This perception and attitude can be affected by the personality traits of individuals. This study aims to evaluate the perceptions and attitudes of dentistry students toward AI.
This cross-sectional study was conducted on dental students at Ordu University Faculty of Dentistry, involving a sample of 83 students. The study utilized the Big Five 50 Test to evaluate personality traits and a 5-point Likert scale to gather data on 20 statements regarding AI in dentistry. Data were analyzed using IBM SPSS Statistics software, and a chi-square test was employed to assess the relationship between the personality traits of dental students and their attitudes towards artificial intelligence, as well as the relationship between the gender of dental students and their attitudes towards artificial intelligence. Statistical significance was set at P < 0.05.
The study involved 83 participants, with 29 male and 54 female participants. The most common personality traits were Openness and Agreeableness, whereas the least common was Extraversion. Participants found AI useful and believed it could help dentists evaluate radiographs. However, the least agreed statement was that they would trust AI more than a dentist in evaluating radiograph results. A statistically significant difference was found between personal traits of dental students and in expressions comparing dentists and AI. Males were more familiar with AI than females.
This study found that attitudes towards AI in dentistry vary based on personality traits. Developing educational strategies tailored to these traits can help foster more positive attitudes and improve AI integration into dental practice.
人工智能(AI)因其有可能彻底改变牙科诊疗方式并改善患者治疗效果而在牙科领域受到了广泛关注。然而,牙医对技术的看法和态度会影响人工智能的应用。这种认知和态度可能会受到个体性格特征的影响。本研究旨在评估牙科专业学生对人工智能的认知和态度。
本横断面研究在奥尔杜大学牙科学院的牙科学生中进行,共纳入83名学生作为样本。该研究采用大五人格50项测试来评估性格特征,并使用5点李克特量表收集有关牙科领域中20条关于人工智能的陈述的数据。使用IBM SPSS Statistics软件对数据进行分析,并采用卡方检验来评估牙科学生的性格特征与其对人工智能的态度之间的关系,以及牙科学生的性别与其对人工智能的态度之间的关系。统计学显著性设定为P < 0.05。
该研究共有83名参与者,其中男性29名,女性54名。最常见的性格特征是开放性和宜人性,而最不常见的是外向性。参与者认为人工智能很有用,并相信它可以帮助牙医评估X光片。然而,最不认同的陈述是在评估X光片结果时,他们会比信任牙医更信任人工智能。在牙科学生的个人特质以及比较牙医和人工智能的表述方面发现了统计学上的显著差异。男性比女性对人工智能更熟悉。
本研究发现,牙科领域中对人工智能的态度因性格特征而异。制定针对这些特征的教育策略有助于培养更积极的态度,并改善人工智能在牙科实践中的整合。