Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey
- PMID: 33005576
- PMCID: PMC7506091
- DOI: 10.5624/isd.2020.50.3.193
Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey
Abstract
Purpose: This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among dental specialists in central India.
Materials and methods: An online survey was conducted consisting of 15 closed-ended questions using Google Forms and circulated among dental professionals in central India. The survey consisted of questions regarding participants' recognition of and attitudes toward AI, their opinions on directions of AI development, and their perceptions regarding the future of AI in oral radiology.
Results: Of the 250 participating dentists, 68% were already familiar with the concept of AI, 69% agreed that they expect to use AI for making dental diagnoses, 51% agreed that the major function of AI would be the interpretation of complicated radiographic scans, and 63% agreed that AI would have a future in India.
Conclusion: This study concluded that dental specialists were well aware of the concept of AI, that AI programs could be used as an adjunctive tool by dentists to increasing their diagnostic precision when interpreting radiographs, and that AI has a promising role in radiological diagnosis.
Keywords: Artificial Intelligence; Awareness; Radiography, Dental.
Copyright © 2020 by Korean Academy of Oral and Maxillofacial Radiology.
Conflict of interest statement
Conflicts of Interest: None
Figures





Similar articles
-
Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?Oral Radiol. 2025 Jan;41(1):69-77. doi: 10.1007/s11282-024-00777-z. Epub 2024 Oct 9. Oral Radiol. 2025. PMID: 39384683
-
Knowledge, Attitudes, and Perceptions of Dental Professionals Regarding Robotics and Artificial Intelligence in Dentistry: A Cross-Sectional Study in Lucknow, India.Cureus. 2025 Feb 11;17(2):e78882. doi: 10.7759/cureus.78882. eCollection 2025 Feb. Cureus. 2025. PMID: 40091913 Free PMC article.
-
Evaluation of Knowledge, Attitude, and Practice (KAP) of Artificial Intelligence Among Dentists and Dental Students: A Cross-Sectional Online Survey.Cureus. 2023 Sep 4;15(9):e44656. doi: 10.7759/cureus.44656. eCollection 2023 Sep. Cureus. 2023. PMID: 37799215 Free PMC article.
-
Knowledge and attitudes towards artificial intelligence in imaging: a look at the quantitative survey literature.Clin Imaging. 2021 Dec;80:413-419. doi: 10.1016/j.clinimag.2021.08.004. Epub 2021 Aug 14. Clin Imaging. 2021. PMID: 34537484 Review.
-
Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group.Radiography (Lond). 2021 Nov;27(4):1192-1202. doi: 10.1016/j.radi.2021.07.028. Epub 2021 Aug 20. Radiography (Lond). 2021. PMID: 34420888 Review.
Cited by
-
Artificial intelligence in dental radiology: a narrative review.Ann Med Surg (Lond). 2025 Mar 27;87(4):2212-2217. doi: 10.1097/MS9.0000000000003127. eCollection 2025 Apr. Ann Med Surg (Lond). 2025. PMID: 40212156 Free PMC article. Review.
-
Tooth numbering with polygonal segmentation on periapical radiographs: an artificial intelligence study.Clin Oral Investig. 2024 Oct 25;28(11):610. doi: 10.1007/s00784-024-05999-3. Clin Oral Investig. 2024. PMID: 39448462
-
Can deep learning identify humans by automatically constructing a database with dental panoramic radiographs?PLoS One. 2024 Oct 24;19(10):e0312537. doi: 10.1371/journal.pone.0312537. eCollection 2024. PLoS One. 2024. PMID: 39446777 Free PMC article.
-
Attitude, perception and barriers of dental professionals towards artificial intelligence.J Oral Biol Craniofac Res. 2023 Sep-Oct;13(5):584-588. doi: 10.1016/j.jobcr.2023.06.006. Epub 2023 Jul 31. J Oral Biol Craniofac Res. 2023. PMID: 37576799 Free PMC article.
-
A questionnaire study regarding knowledge, attitude and usage of artificial intelligence and machine learning by the orthodontic fraternity of Northern India.J Oral Biol Craniofac Res. 2024 Sep-Oct;14(5):500-506. doi: 10.1016/j.jobcr.2024.06.004. Epub 2024 Jul 2. J Oral Biol Craniofac Res. 2024. PMID: 39050525 Free PMC article.
References
-
- Dreyer KJ, Geis JR. When machines think: radiology’s next frontier. Radiology. 2017;285:713–718. - PubMed
-
- Bas B, Ozgonenel O, Ozden B, Bekcioglu B, Bulut E, Kurt M. Use of artificial neural network in differentiation of subgroups of temporomandibular internal derangements: a preliminary study. J Oral Maxillofac Surg. 2012;70:51–59. - PubMed