A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery
- PMID: 36013526
- PMCID: PMC9412897
- DOI: 10.3390/medicina58081059
A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery
Abstract
Background: Applications of artificial intelligence (AI) in medicine and dentistry have been on the rise in recent years. In dental radiology, deep learning approaches have improved diagnostics, outperforming clinicians in accuracy and efficiency. This study aimed to provide information on clinicians' knowledge and perceptions regarding AI. Methods: A 21-item questionnaire was used to study the views of dentistry professionals on AI use in clinical practice. Results: In total, 302 questionnaires were answered and assessed. Most of the respondents rated their knowledge of AI as average (37.1%), below average (22.2%) or very poor (23.2%). The participants were largely convinced that AI would improve and bring about uniformity in diagnostics (mean Likert ± standard deviation 3.7 ± 1.27). Among the most serious concerns were the responsibility for machine errors (3.7 ± 1.3), data security or privacy issues (3.5 ± 1.24) and the divestment of healthcare to large technology companies (3.5 ± 1.28). Conclusions: Within the limitations of this study, insights into the acceptance and use of AI in dentistry are revealed for the first time.
Keywords: artificial intelligence; clinicians survey; machine learning; perception; qualitative research.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
Similar articles
-
Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer.Cancer Control. 2025 Jan-Dec;32:10732748251343245. doi: 10.1177/10732748251343245. Epub 2025 May 23. Cancer Control. 2025. PMID: 40407404 Free PMC article.
-
Contemporary Role and Applications of Artificial Intelligence in Dentistry.F1000Res. 2023 Sep 20;12:1179. doi: 10.12688/f1000research.140204.1. eCollection 2023. F1000Res. 2023. PMID: 37942018 Free PMC article. Review.
-
Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research.BMC Med Educ. 2024 Oct 15;24(1):1149. doi: 10.1186/s12909-024-06106-6. BMC Med Educ. 2024. PMID: 39407168 Free PMC article.
-
Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey.Dentomaxillofac Radiol. 2021 Jul 1;50(5):20200461. doi: 10.1259/dmfr.20200461. Epub 2021 Jan 12. Dentomaxillofac Radiol. 2021. PMID: 33353376 Free PMC article.
-
Artificial Intelligence in Dentistry: A Descriptive Review.Bioengineering (Basel). 2024 Dec 13;11(12):1267. doi: 10.3390/bioengineering11121267. Bioengineering (Basel). 2024. PMID: 39768085 Free PMC article. Review.
Cited by
-
Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists.Oral Radiol. 2025 Jan;41(1):52-59. doi: 10.1007/s11282-024-00775-1. Epub 2024 Oct 9. Oral Radiol. 2025. PMID: 39379636
-
Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.Eur J Dent Educ. 2025 Feb;29(1):9-18. doi: 10.1111/eje.13042. Epub 2024 Sep 28. Eur J Dent Educ. 2025. PMID: 39340812 Free PMC article.
-
Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns.JMIR Hum Factors. 2025 Jun 3;12:e56300. doi: 10.2196/56300. JMIR Hum Factors. 2025. PMID: 40460309 Free PMC article.
-
Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review.BMJ Open. 2025 Apr 15;15(4):e092624. doi: 10.1136/bmjopen-2024-092624. BMJ Open. 2025. PMID: 40233955 Free PMC article.
-
Impact of AI-Driven Technologies on Patient Satisfaction in General Dentistry: A Systematic Review and Meta-Analysis.J Pharm Bioallied Sci. 2025 Jun;17(Suppl 2):S1297-S1300. doi: 10.4103/jpbs.jpbs_1920_24. Epub 2025 Jun 18. J Pharm Bioallied Sci. 2025. PMID: 40655678 Free PMC article.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Medical