Implementing Artificial Intelligence in Dental Education: An International Survey of Experiences and Opinions of Dental Students

Abstract

Objective: Innovative educational tools support student-centered learning by enhancing the explanation, interpretation, and visualization of radiologic findings. The study aimed to evaluate the utilization of artificial intelligence (AI)-based educational decision-support system by participants, as well as their perspectives and expectations regarding AI and its implementation in the curriculum. Methods: Undergraduate dental students of two nationalities participated in a cross-sectional online survey. The assessment of their perceptions and attitudes toward AI in dental education was done by a 17-question questionnaire. Descriptive statistics were presented utilizing the median, min-max, mean, standard deviation, and interquartile range. The Mann-Whitney U test was applied to compare the responses of individuals. The Chi-Square test was conducted to investigate the association of gender and nationality concerning the use of AI. Results: The study included 102 dental students (62 males, 40 females) from two different nationalities (62 Turkish, 40 American). The findings showed that the majority of dental students thought using AI in dental education was beneficial. AI usage distribution showed no significant difference by nationality or gender, but concerns about AI replacing dentists and its role in dental education differed significantly between nationalities. Conclusion: Students largely offered a favorable attitude toward AI. These results can assist lecturers in formulating effective approaches to optimize the benefits of AI in dental education, address any issues, and integrate AI into the dental curriculum.

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