ReviewCureus2025
Integration of Artificial Intelligence in Dentistry: A Systematic Review of Educational and Clinical Implications.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Effect of artificial intelligence-assisted personalized feedback on radiographic diagnostic performance of dental students: a controlled study.BMC medical education · 2025Trial
- A novel AI system for preliminary triage support in single-tooth edentulous spaces using intraoral images.Scientific reports · 2026Article
- Exploring the prospects of artificial intelligence in transforming dental care for special needs groups: mapping the current evidence.BDJ open · 2026Article
- Navigating the ethical and legal landscape of artificial intelligence in dentistry.Journal of advanced periodontology & implant dentistry · 2026Article
- Machine learning in dentistry: a scoping review.PLOS digital health · 2025Article
- Are ChatGPT, My AI Snapchat, and Metaverse used by dental students as reliable sources of dental education?Frontiers in dental medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In dentistry, artificial intelligence (AI) revolutionized education and healthcare by providing customized, scalable, and innovative learning. Most of the review evidence focusing on the application of AI in dentistry has been published; however, this systematic review focuses on determining the knowledge, attitude, preparedness of institutions, and potential benefits of AI tools in comparison to human critical thinking by targeting studies evaluating AI's potential in the assessment of disorders, decision-making, and simulation-oriented training. A search for relevant studies was conducted across Google Scholar, ScienceDirect, and PubMed databases from 2019 to 2024 which led to the recruitment of seven pieces of evidence demonstrating applications of AI involving, diagnostic systems, gamification tools, and virtual reality modules in dentistry, which increased engagement, and enhanced learning as well as diagnostic accuracy. However, challenges including organizational barriers, small sample sizes, and methodological differences were observed. In conclusion, for advancing the field of dentistry, AI applications demonstrate a significant contribution; however, to inculcate reliable frameworks, further investigations should focus on the conduction of longitudinal studies, restrictions to implementation, and collaboration of organizations with dental institutions.
Indexed as
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.