Evidence map›Paper›PMID 42728652›Full record

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

AI In Dental Education: Upskilled, Differently Skilled, or Never Skilled?

Barry F A Quinn

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

1 author.

Barry F A QuinnSchool of Dentistry, The University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0002-9058-3849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) is being integrated rapidly into dental education, yet frameworks to guide its use while safeguarding foundational competence remain underdeveloped. Recent work in medical education has highlighted the risk of AI-induced 'never-skilling', whereby learners fail to develop core reasoning because AI repeatedly performs the cognitive work required for competence development.

aimTo apply the concepts of 'upskilled', 'differently skilled' and 'never skilled' to European dental education and explore their implications for curriculum design, assessment and governance. MAIN ARGUMENTS: 'Never skilled' refers not to poor AI literacy, but to progression through training without acquiring the foundational biomedical, behavioural and clinical knowledge, and independent reasoning expected of a safe clinician. In contrast, 'upskilled' individuals extend existing competencies through critical AI use, while 'differently skilled' individuals possess strong foundational competence and collaborate effectively with AI through contextual judgement, educational expertise and ethical reasoning. AI is not inherently detrimental to learning; its impact depends on when and how it is introduced. A staged approach that prioritises AI-independent competence before guided AI integration and supervised collaboration is proposed.

conclusionsDental schools should protect foundational competence through staged AI integration, explicit AI-independent milestones, aligned assessment strategies, and separate governance frameworks for educational and clinical AI. The distinction between upskilled, differently skilled, and never skilled offers a practical framework for ensuring AI augments rather than replaces competence development.

Indexed as

Artificial IntelligenceClinical CompetenceEducation, DentalCurriculumEuropeHumansartificial intelligenceassessmentclinical reasoningcompetencecurriculumdental education

Identifiers

PMID42728652
PMCPMC13686689

What OpenQuestion holds

Textmetadata
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.