Awareness and Attitudes Toward Artificial Intelligence (AI) Applications in Prosthodontics Among Dental Students and Professionals
Main Article Content
Abstract
Objective: The purpose of this study is to evaluate dental professionals and students knowledge, attitudes, and perceived difficulties with the use of artificial intelligence (AI) in prosthodontics.
Methods: This is a cross-sectional study. The study investigated the participants knowledge of artificial intelligence (AI), as well as its perceived benefits, possible disadvantages, and the necessity of include AI instruction in dental school curricula.
Results: In this study only 28% of participants regularly employed AI-based applications in clinical practice. Among the participants 63% having some exposure to AI. Improved treatment planning efficiency (25%) and increased diagnostic accuracy (40%) were the most well-known advantages of AI. The ethical concerns and the lack of human contact were concerns of the 25% and 30% participants respectively. 78% of respondents said they had no formal AI training. A majority (65%) favored integrating AI into dental education. High expenses (30%) and a lack of educational resources (40%) were obstacles to the integration of AI.
Conclusion: There is increased awareness of AI in prosthodontics. But economic issues, a lack of proper training, and ethical problems limit its practical use. This gap could be closed and AI usage in clinical settings increased by incorporating AI education into dentistry curricula and offering professional training.
Article Details
Work published in JPMI is licensed under a
Creative Commons Attribution-NonCommercial 2.0 Generic License.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
References
1. Hassani H, Amiri Andi P, Ghodsi A, Norouzi K, Komendantova N, Unger S. Shaping the future of smart dentistry: From artificial intelligence (AI) to intelligence augmentation (IA). IoT 2021;2(3):510-23. DOI: 10.3390/iot2030026.
2. Abouzeid HL, Chaturvedi S, Abdelaziz KM, Alzahrani FA, AlQarni AAS, Alqahtani NM. Role of robotics and artificial intelligence in oral health and preventive dentistry – knowledge, perception and attitude of dentists. Oral Health Prev Dent 2021;19:353-63. DOI: 10.3290/j.ohpd.b1693873.
3. Alzahrani AAH. Perceptions and attitudes of dental practitioners toward robotic dentistry and artificial intelligence in Saudi Arabia. AIP Adv 2024;14(4):045126.
4. Pethani F. Promises and perils of artificial intelligence in dentistry. Aust Dent J 2021;66(2):124-35.
5. Meghil MM, Rajpurohit P, Awad ME, McKee J, Shahoumi LA, Ghaly M. Artificial intelligence in dentistry. Dentistry Rev 2022;2(1):100009. DOI: 10.1016/j.dentre.2021.100009.
6. Chen YW, Stanley K, Att W. Artificial intelligence in dentistry: Current applications and future perspectives. Quintessence Int 2020;51(3):248-57. DOI: 10.3290/j.qi.a43952.
7. Abuzinadah S, Alshahrani HH, Asiri MH, Alanazi RI, Alamoudi LM, Alshareif LS, Fergani OM, Al Silfih SA, Alshahrani RA, Alshammari HB, Nazer MW. Knowledge, attitude, and practice regarding artificial intelligence in dentistry among dental students, interns, and dentists in Saudi Arabia. Cah Magellan NS 2024;6(2):7818-34.
8. Alhaddad AJ, Al Dakhel ES, Al Khodair MM, Alasiri AJ, Alkhateeb EY, Alshehri HF, Almousa KN, Alasiri MH, Alosaimi ZS, Alzahrani KT. Artificial intelligence perception and utilization in prosthodontics. Cah Magellan NS 2024;6(2):8470-85.
9. Ezzeldin N, Salama AA, Shehab KA. Knowledge, perception, and attitude of Egyptian dental students toward the role of robotics and artificial intelligence in dental practices: A cross-sectional study. BMC Oral Health 2025;25:747.
10. Singh N, Pandey A, Tikku AP, Verma P, Singh BP. Attitude, perception and barriers of dental professionals towards artificial intelligence. J Oral Biol Craniofac Res 2023;13(5):584-8.
11. Alhmadi S, Samson R. Analyzing awareness and knowledge of artificial intelligence’s potential application in prosthodontics and clinical dentistry. J Dent Res 2022;101(4):456-62.
12. Zeiler MD, Fergus R. Visualizing and understanding convolutional networks. In: Eur Conf Comput Vis; 2014;818-33.
13. Khanagar SB, Al-Ehaideb A, Vishwanathaiah S, Maganur PC, Patil S, Naik S. Developments, application, and performance of artificial intelligence in dentistry – a systematic review. J Dent Sci 2021;16(1):508-22.
14. Maskara R, Kumar S. A study on the perception of medical professionals towards artificial intelligence in dentistry. Int J Healthc Technol Manag 2020;12(3):178-88.
15. Yilmaz C, Turkyilmaz I. Artificial intelligence knowledge, attitudes, and application perspectives of undergraduate and specialty students. Eur J Dent Educ 2021;25(3):456-64.
16. Hasan A, Hussein M. Practices of dentists about digital techniques in dental radiology and radiographic safety. J Oral Health Dent Manag 2019;18(4):215-22.
17. Ma J, Schneider L, Lapuschkin S, Achtibat R, Duchrau M, Krois J, Schwendicke F, Samek W. Towards trustworthy AI in dentistry. J Dent Res 2022;101(11):1263-8.
18. Khanagar SB, Al-Ehaideb A. Barriers to AI adoption in dentistry: A global perspective. J Dent Res 2022;101(5):567-75.
19. Vodanovic M. Artificial intelligence in medicine and dentistry: Challenges and opportunities. Croat Med J 2020;61(3):276-83.
20. Vashisht A, Gupta R. Artificial intelligence: Mutating dentistry. J Clin Diagn Res 2021;15(6):ZE01-ZE05.
21. Agrawal P, Bhardwaj A. Artificial intelligence in dentistry: Past, present, and future. Int J Dent 2022;:1-8.