ArticleJournal of oral biology and craniofacial research
Attitude, perception and barriers of dental professionals towards artificial intelligence.
Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2024Pooled it
- Article
- Educational gaps and factors associated with artificial intelligence adoption among Egyptian periodontists: a multicenter cross-sectional study.Scientific reports · 2026Article
- Bridging Borders, Bridging Barriers: Artificial Intelligence for Dental Education.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
- Can AI chatbots be reliable in dental emergencies? quality assessment of Arabic responses to dental emergency inquiries and public attitudes toward their use.BMC oral health · 2026Article
- Dentists', dental students' and patients' knowledge, attitudes and practices on artificial intelligence: a scoping review.BMC oral health · 2026Article
- Dental Students' Knowledge, Attitudes and Perceptions of Artificial Intelligence Tools to Aid in the Diagnosis of Oral Cancer and Oral Potentially Malignant Disorders.Oral diseases · 2026Article
- Assessment of dentists' knowledge, attitude and practice regarding artificial intelligence in periodontics.Bioinformation · 2026Article
- Knowledge and awareness of artificial intelligence among dental OPD patients at Patna medical college hospital.Bioinformation · 2026Article
- Artificial intelligence usage among dental students/dentists of different educational level: a multi-country survey.BMC oral health · 2025Article
- Article
- AI in Dentistry: Innovations, Ethical Considerations, and Integration Barriers.Bioengineering (Basel, Switzerland) · 2025Review
- Exploring dental students' attitudes and perceptions toward artificial intelligence in dentistry in Iran.BMC medical education · 2025Article
- Exploring dental faculty awareness, knowledge, and attitudes toward AI integration in education and practice: a mixed-method study.BMC medical education · 2025Article
- Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.European journal of dental education : official journal of the Association for Dental Education in Europe · 2025Article
- Integrating artificial intelligence into veterinary education: student perspectives.Frontiers in veterinary science · 2025Article
- Artificial Intelligence and Modern Technology in Dentistry: Attitudes, Knowledge, Use, and Barriers Among Dentists in Croatia-A Survey-Based Study.Clinics and practice · 2024Article
- Knowledge and Perception of Artificial Intelligence Amidst the Health Professionals-A Web-Based Survey.Journal of pharmacy & bioallied sciences · 2024Article
- Medical students and house officers' perception, attitude and potential barriers towards artificial intelligence in Egypt, cross sectional survey.BMC medical education · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To know attitudes, perceptions and barriers towards the use of Artificial Intelligence (AI) in dentistry in India among undergraduate and postgraduate students. Methodology: A questionnaire-based cross-sectional study was conducted among participants pursuing graduation and postgraduation. The questionnaire consisted of 23 close-ended and 2 open-ended questions divided into various sections of attitude, perception and barriers. The data was analysed using Statistical Package for Social Sciences (SPSS) version 24.0. Result: Out of 937 responses, 55.2% responded that they get information about AI from social media platforms. 51.3% of respondents have basic knowledge about the use of AI in dentistry. 59.6% agreed that AI can be used as a "definitive diagnostic tool" in the diagnosis of diseases. 66.5% agreed that AI can be used for radiographic diagnosis of tooth caries. 71.3% stated that AI can be used as a "treatment planning tool" in dentistry. 55.7% stated that AI should be part of undergraduate dental training. Conclusion: This study concluded that both dental students are aware of the concept of AI. Participants were positive when asked if AI can increase the efficiency of diagnosis, prognosis and treatment planning procedures as well as in managing patient data. Both participants believed that the barriers to the introduction of AI in dentistry are a lack of technical resources and a lack of training personnel in college.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.