ReviewJournal of education and health promotion2026
Exploring the impact of artificial intelligence on dental education: Benefits, challenges, and future directions - A systematic review of the literature.
Review in Journal of education and health promotion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of artificial intelligence (AI) in dental education is a profound opportunity, spurred on by unprecedented technological change. It should be revamped in a way that supports immense capabilities, improves efficiency, and provides learning opportunities, but also has constraints that need to be understood. Thus, in this article, we discuss the benefits and challenges involved in adapting AI into dental education, as well as methods to improve the application of AI to enhance learning for students and instructors. We reviewed a total of 73 articles from multiple databases, including PubMed/Medline, Cochrane, Scopus, and Google Scholar. Through our review of articles from the past five years (2018-2024), the selected studies were evaluated based on relevance, recency, and credibility, which were sometimes difficult to distinguish between. We ultimately found 56 articles that met the above criteria for relevance. Using several combinations, we selected the relevant articles based on the keyword descriptions: AI in dentistry, AI in health care, deep learning in dentistry, machine learning in dentistry, AI in medical education, AI in dental education, AI constraints, and AI with dental students. Anything that was outdated, lacked credibility, or seemed to have redundant information was removed. Taken together, we reflect on the fact that AI has very exciting implications to innovate dental education, and the obstacles to broad-scale adoption can be overcome with responsible use and oversight. In conclusion, AI is a vital part of the contemporary dental curriculum and provides the potential for positive educational and clinical outcomes. AI provides an essential educational tool in the dental education curriculum for better teaching, learning, and patient care outcomes. If utilized effectively, then by identifying the limitations and guiding students on its ethical use, AI can narrow educational gaps and help students and mentors achieve better outcomes clinically and academically.
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Identifiers
What OpenQuestion holds
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.