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Evaluation of the Attitudes of Students, Residents, and Faculty Members of Tehran Islamic Azad University of Medical Sciences towards the Application of Artificial Intelligence in Dentistry during the Academic Year 2024-2025
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Amirali Movahedian   , Maedeh Ghorbanpour , Donia Sadri * |
| , d.sadri@iautmu.ac.ir |
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Abstract: (107 Views) |
Background and Aim: The increasing integration of artificial intelligence (AI) into dentistry necessitates an evaluation of dentists’ awareness, knowledge, and attitudes in this field. This Study aimed to evaluate the Attitudes of Students, Residents, and Faculty Members of Tehran Islamic Azad University of Medical Sciences towards the Application of Artificial Intelligence in Dentistry during the Academic Year 2024-2025.
Materials and Methods: This descriptive cross-sectional study was conducted on a total of 243 participants, including 138 undergraduate dental students, 49 postgraduate dental residents, and 56 faculty members. To assess attitudes toward the application of artificial intelligence (AI) in dentistry, a questionnaire was developed based on a previous study. Face validity of the instrument was confirmed by experts, and its reliability was verified using Cronbach’s alpha (0.68). The questionnaire consisted of two main sections: Demographic information and attitude-related items (questions 1-15, Respondents were asked to indicate their level of agreement on a Likert scale. To examine the effect of independent variables on the total questionnaire score, a multiple linear regression model was employed.
Result: Overall, the mean attitude score was 39.46 ± 8.54. The mean attitude scores were 41.55 ± 7.94 among faculty members, 35.85 ± 10.04 among residents, and 39.90 ± 7.85 among students. With increasing age, the average attitude score increased (p=0.004). Men had a higher average attitude score towards the use of artificial intelligence in dentistry than women (p=0.041). With increasing academic year, the average attitude score decreased (p=0.008). Position (faculty members, students, residents) did not have a significant effect on the average attitude score towards the use of artificial intelligence in dentistry (p=0.223).
Conclusion: The attitudes of students, residents, and faculty members were at a moderate level. Overall, dental students demonstrated a positive perspective toward the use of AI in dentistry, particularly in areas such as radiographic diagnosis, implant placement planning, and the diagnosis of periodontal diseases.
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Article number: 7 |
| Keywords: Artificial Intelligence, Attitude, Dentistry, Faculty Members, Students |
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Full-Text [PDF 875 kb]
(123 Downloads)
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Type of Study: original article |
Subject:
Dental EDu
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