ArticleBMC medical education2025
Perception, usage, and concerns of artificial intelligence applications among postgraduate dental students: cross-sectional study.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
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Who cites it
11 citing papers in PubMed.
- Responsible Clinical AI in Dentistry: Trust, Professional Autonomy, and Perceptions of Accountability Across Stakeholders in Romania-A Multidisciplinary Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2026Article
- Attitudes Toward Artificial Intelligence Among Polish Dentists: A Cross-Sectional Survey.Diagnostics (Basel, Switzerland) · 2026Article
- Medical students' attitudes, usage patterns, and associated factors with DeepSeek adoption in education: a cross-sectional study in China.BMC medical education · 2026Article
- Development and validation of the Dental Artificial Intelligence Readiness and Acceptance Instrument (DAI-RAI) for dental professionals.BMC oral health · 2026Article
- Factors influencing large language model adoption among dental students: a cross-sectional study.Scientific reports · 2026Article
- Familiarity, attitude and practice of postgraduate health science students of Pakistan regarding the implication of artificial intelligence in research: an analytical survey.BMC medical education · 2026Article
- Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.Frontiers in digital health · 2026Article
- Nurses' AI training acceptance and tool usage: a structural equation model of individual and hospital-level factors.Frontiers in public health · 2026Article
- Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.International journal of dentistry · 2026Article
- Attitudes and perceptions of dental students towards artificial intelligence.BMC medical education · 2025Article
- Artificial Intelligence and the future of clinical trials.Contemporary clinical trials communications · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFuture dental applications of artificial intelligence (AI) are anticipated to be widely adopted across all dental specialities. However, there are some concerns among many users about the accuracy of the given information. Therefore, this study aimed to investigate postgraduate' dental students' perception, usage, and concerns towards AI systems' applications. MATERIALS AND
methodsAn online self-administered survey, consisting of 19 closed-ended questions in the English language, and a 3-point Likert-type scale was used to obtain a simple and straightforward response from participants in a "forced-choice" response format that was distributed to postgraduate dental students in the faculty of dentistry of multiple Universities.
resultsYounger participants and BDS holders are more likely to use AI-based software (p < 0.001), as well as showing more optimism about AI's potential to advance dentistry, whereas PhD holders are more skeptical about its integral role in healthcare (p < 0.001). Speciality influenced AI adoption significantly, with Endodontics showing the highest percentage (52.4% for 1 + years of AI usage; p = 0.006). Concerns about AI reliability and originality in research vary significantly by level of education and Speciality (p < 0.05). Younger participants show greater belief in AI's potential for major advancements in dentistry (p < 0.001).
conclusionsPostgraduate dental students generally perceive AI positively, recognizing its potential to enhance care. Usage remains moderate, with higher adoption in specialities like Endodontics and Periodontics. Concerns include AI's accuracy, ethical implications, and integration challenges, highlighting the need for further education and research. CLINICAL TRIAL NUMBER: Not applicable.
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