BMC Medical Education (Oct 2024)

Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research

  • Cemile Yılmaz,
  • Rahime Zeynep Erdem,
  • Latife Altınok Uygun

DOI
https://doi.org/10.1186/s12909-024-06106-6
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 12

Abstract

Read online

Abstract Background This study aimed to investigate the knowledge, attitudes, and perceptions of fourth- and fifth-year undergraduate as well as specialty dentistry students in Turkey concerning artificial intelligence (AI) and its applications. Methods The study was conducted between October 16, 2023, and January 16, 2024, with participants consisting of volunteers from dental faculties in Turkey. A total of 335 undergraduate students and 62 specialty students participated in the survey, which utilized non-probability convenience and snowball sampling methods. Cronbach’s alpha was utilized to measure the internal consistency of the scale. Statistical analysis was performed using IBM SPSS version 26.0, with quantitative data presented as mean ± standard deviation and categorical data as frequency (percentage). The statistical level was set at 0.05, and the analysis involved Pearson’s Chi-square test and Fisher-Freeman-Halton tests. Results The results indicate that undergraduate and specialty students perceive the integration of large datasets as the primary advantage of AI. The speed, objectivity, and potential to reduce misdiagnosis rates associated with AI are also highlighted. Undergraduate students express more significant concern about the impact of AI on patient understanding and empathy compared to specialty students. Additionally, both groups strongly advocate for the inclusion of AI-related courses in dental education and acknowledge the indispensability of AI in dental practice. The significant roles of AI in dentistry, such as providing evidence-based dental approaches and compensating for human intellectual limitations, are widely recognized. Furthermore, consensus exists that AI will primarily assist in diagnosis and treatment decisions. Conclusions The findings emphasize the importance of cautiously managing AI’s role in healthcare services and underscore the need to prioritize patient privacy and data security. AI should be regarded as a complement to the work of dental professionals rather than a substitute. The study recommends further research involving a larger and more diverse sample to obtain a comprehensive understanding of attitudes toward AI in dentistry.

Keywords