Journal of Isfahan Medical School

Journal of Isfahan Medical School

Survey of Knowledge and Attitudes of Clinical Dental Students Regarding the Applications of Artificial Intelligence in Dentistry

Document Type : Original Article(s)

Authors
Mobina abedinnezhad 1
Negin Neshanifar 2
Mehrdad Salek Shahabi 3
1 Dentistry Student, Fculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran
2 Assistant Professor-Department of Oral Medicine, Faculty of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran
3 MD, Department of Medicine, Faculty of Islamic Azad University, Tbariz, Iran
10.48305/jims.v43.i841.1626
Abstract
Background: The use of advanced technologies in dentistry can significantly improve patient care. The present study aimed to investigate the knowledge and attitudes of clinical dental students in Tabriz regarding the applications of artificial intelligence in dentistry.
Methods: In this cross-sectional study, 280 students were randomly selected using a convenience sampling method from general dentistry courses at Tabriz University of Medical Sciences in 2024. A questionnaire on knowledge and attitude about the applications of artificial intelligence in dentistry was given to them and the completed questionnaires were received on the same day. After collecting the questionnaires, the knowledge and attitude scores were determined. The questionnaire was prepared in 3 sections: demographic information (academic semester, gender, age), the second section included knowledge questions (15 questions), and the third section included attitude questions (10 questions). Its validity and reliability were determined. Data were analyzed using Mann-Whitney U, Kruskal Wallis, and Chi-square tests. The significance level of statistical correlation was considered to be 0.05.
Findings: The average level of dental students' awareness of AI applications in dentistry was 9.26 ± 2.03 (out of a maximum score of 15). 12.1% of students had poor awareness, 72.5% had moderate awareness, and 15.4% had good awareness. The average level of students' attitude was 3.78 ± 0.60. 3.2% of students had negative attitudes toward AI applications in dentistry, 50.4% had moderate attitudes, and 46.4% had positive attitudes. The level of awareness and attitude did not show significant differences based on the gender of students. The level of awareness in students of semesters 11 and 12 was significantly higher than other students (P < 0.05), but the level of students' attitude did not show significant differences based on academic semeste.
Conclusion: Students' awareness of the use of artificial intelligence in dentistry was reported to be at an average level.

Highlights

Negin  Neshanifard: Google Scholar 

Mehrdad Salekshahabi: Google Scholar

Keywords
Artificial intelligence
Awareness
Attitude
Dentistry

Subjects

1.     Jethlia A, Honey Lunkad DSAM, Arishi TQ, Humedi AY, Alsaab AI. Knowledge, attitudes and perceptions of intern and dental practioners in Saudi Arabia towards artificial intelligence. Journal of Pharmaceutical Negative Results. 2022; 13: 1161-7.
2.     Keser G, Pekiner FMN. Attitudes, perceptions and knowledge regarding the future of artificial intelligence in oral radiology among a group of dental students in Turkey: a survey. Clin Exp Health Sci 2021; 11: 637-41.
3.     Shapiro SC. Encyclopedia of artificial intelligence second edition. New Jersey: A Wiley Interscience Publications; 1992.
4.     Sur J, Bose S, Khan F, Dewangan D, Sawriya E, Roul A. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey. Imaging Sci Dent 2020; 50(3): 193-8.
5.     Eschert T, Schwendicke F, Krois J, Bohner L, Vinayahalingam S, Hanisch M. A survey on the use of artificial intelligence by clinicians in dentistry and oral and maxillofacial surgery. Medicina (Kaunas) 2022; 58(8): 1059.
6.     Sajjad I, Abidi Y, Baig N, Akhlak H, Lone M, Ahned J. Awareness and perception of dentists regarding role and future of Artificial Intelligence in Dentistry. Pakistan J Med Health Sci 2021; 15(12): 3555-8.
7.     Xiao C, Choi E, Sun J. Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J Am Med Inform Assoc 2018; 25(10): 1419-28.
8.     Aboalshamat KT. Perception and utilization of artificial intelligence (AI) among dental professionals in Saudi Arabia. The Open Dentistry Journal 2022; 16(4): e2208110 .
9.     Seram T, Batra M, Gijwani D, Chauhan K, Jaggi M, Kumari N. Attitude and perception of dental students towards artificial intelligence. J Dent Educ 2021; 85(1): 60-68.
10.  Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. J Dent Educ 2021; 85(1): 60-8.
11.  Dashti M, Londono J, Ghasemi S, Khurshid Z, Khosraviani F, Moghaddasi N, et al. Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review. J Taibah Univ Med Sci 2024; 19(2): 327-37.
12.  Shrateh O, Al-batat S, Al-Qudimat AR, Ghannam L, Abuhanoud LJ. Attitudes and perceptions of dental students towards artificial intelligence. BMC Med Educ 2025; 25(1): 1386.
13.  Abdallat M, AlSamhori JF, AlSamhori AF, Kawwa MJ, Labadi SH, AlSamhoriAF, et al. Factors influencing the adoption of artificial intelligence among medical and dental students: a cross-sectional study at the university of Jordan. Adv Med Educ Pract 2025;16: 993-1005.
14.  Ronaghi MH, Bagheri A. Applications of artificial intelligence technology in dentistry. J Dent Med-tums 2023; 36: 10.
15.  Uzuner O, Mailoa J, Ryan R, Sibanda T. Semantic relations for problem-oriented medical records. Artif Intell Med 2010; 50(2): 63-73.
16.  Kalaimani G, Sivapathasundharam B, Chockalingam RM, Karthick P. Evaluation of Knowledge, Attitude, and Practice (KAP) of Artificial Intelligence Among Dentists and Dental Students: A Cross-Sectional Online Survey. Cureus 2023; 15(9): e44656.
17.  Dashti M, Londono J, Ghasemi S, Khurshid Z, Khosraviani F, Moghaddasi N, et al. Q22Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review. J Taibah Univ Med Sci 2024; 19(2): 327-37.
18.  Guler R, Yalcin E, Gulsun B. Evaluation of Attitudes and Perceptions in Students About the Use of Artificial Intelligence in Craniomaxillofacial Surgery. J Craniofac Surg 2025; 36(2): 432-6.
19.  Choudhary A, Jaral S, Malik A, Kaul R. Assessment of knowledge and awareness of artificial intelligence and its uses in dentistry among dental students in Jammu and Kashmir: A questionnaire based survey. IP Indian J Conserv Endod 2023; 8(4): 210–14.
20.  Alsamhori JF, AlSamhori ARF, Shnekat HH, AlSamhori AF, Abdallat S, et al. Attitude, Awareness, and Understanding of Artificial Intelligence AI among Medical and Dental Students in Jordan: A Cross-Sectional Study. International Journal of Medical Students, 2023; 11: S93.
21.  Sarhan S, Badran A, Ghalwash D, Gamal Almalahy H, Abou-Bakr A. Perception usage. and concerns of artificial intelligence applications among postgraduate dental students: cross-sectional study. BMC Med Educ 2025; 25(1): 856.
22.  Halat D.H, Shami R, Daud A, Sami W, Soltani A, Malki A. Artificial intelligence readiness, perceptions, and educational needs among dental students: A Cross-Sectional study. Clin Exp Dent Res 2024; 10(4): e925.
23.  Xuan PY, Fahumida MIF, Hussain MIAN, Jayathilake NT, Khobragade S, Soe HHK, et al. Readiness towards artificial intelligence among undergraduate medical students in Malaysia. Educ Med J 2023; 15(2): 49–60.
Baseer S, Jamil B, Khan SHA , Khan M, Syed A, Ali L, Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey. BMC Med Educ 2025; 25(1): 632
Journal of Isfahan Medical School
Volume 43, Issue 841
1st Week , February
January and February 2026
Pages 1626-1633

  • Receive Date 04 February 2026
  • Accept Date 20 February 2026