Evidence map›Paper›PMID 41877355›Full record

ArticleEuropean journal of dental education : official journal of the Association for Dental Education in Europe2026

Bridging Borders, Bridging Barriers: Artificial Intelligence for Dental Education.

Dieter J Schönwetter, Laura L MacDonald, Patricia A Reynolds, Kenneth A Eaton

Abstract read
In one paragraph

Article in European journal of dental education : official journal of the Association for Dental Education in Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dieter J SchönwetterDr. Gerald Niznick College of Dentistry, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0000-0002-8508-1641
Laura L MacDonaldDr. Gerald Niznick College of Dentistry and School of Dental Hygiene, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0000-0001-8382-5566
Patricia A ReynoldsFaculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-9185-4161
Kenneth A EatonGeneral and Lifelong Learning Division, University of Kent, Kent, UK.ORCID https://orcid.org/0000-0002-9645-9937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid convergence of Artificial Intelligence (AI), Information and Communication Technologies (ICT), and Assistive Technologies (AT) is transforming education, especially its accessibility and inclusivity. This commentary resulted from a think-tank during a colloquium of academics and practitioners from Europe, Africa, and North America, who came together for two intensive days of keynote presentations, thematic panels, and collaborative workshops to examine AI's promise in healthcare education. Participants highlighted three interwoven themes: employing universal design principles to AI-driven learning experiences; balancing innovation with digital equity; and crafting policy frameworks that encourage adoption while guarding against algorithmic bias. Yet significant hurdles persist-ethical dilemmas around data privacy, bias in machine learning models, and a digital division between resource-rich and resource-poor groups and countries. To address these challenges, the following recommendations emerged: foster interdisciplinary research partnerships, establish transparent AI governance structures, and invest in scalable assistive technologies. Ultimately, continued international collaboration is needed to ensure AI becomes a force for narrowing, not widening, educational disparities-and to secure a future where accessible learning is a reality for all.

Indexed as

Artificial IntelligenceEducation, DentalHumansartificial intelligence in educationassistive technologydigital equityethical AI implementationperspectives on AI

Identifiers

PMID41877355
PMCPMC13383280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.