ReviewInternational dental journal2026
Digital Intelligence in Dental Education: A Bibliometric Analysis.
Review in International dental journal, 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasingly supporting clinical skill training and educational applications. This study aims to map the knowledge landscape of digital intelligence applications in dental education through a bibliometric analysis.
methodsA comprehensive literature search was conducted in the Web of Science Core Collection to identify relevant publications on digital intelligence in dental education. Bibliometric parameters were analysed qualitatively and quantitatively using Microsoft Excel 2019, Incites and CiteSpace software.
resultsOf 606 initially retrieved publications, 424 were included in the analysis. Annual publication output remained relatively low from 2000 to 2020, followed by a pronounced increase in 2024 and 2025. Among the ten most-cited articles, the top seven were review articles. The most productive countries were the USA (n = 47, 12%), China (n = 40, 10%), and England (n = 28, 7%). The most active journals were the Journal of Dental Education, European Journal of Dental Education, and BMC Medical Education. Trend analysis via CiteSpace revealed an evolution in research focus from computer simulation (2010) to learning environments (2019) and, more recently, artificial intelligence (2024). Keyword clustering identified five thematic groups: artificial intelligence, computer-assisted instruction, skill assessment, haptic simulation, and simulation.
conclusionsThis study offers insights and guidance for researchers interested in digital intelligence applications in dental education. With the rapid advancement of digital intelligence, dental education is poised to benefit substantially. Educators should strategically integrate digital tools and pedagogical concepts to enhance teaching methods and adapt to future educational demands.
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.