ArticleInternational dental journal2026
Preparing the AI-Ready Dentist: A Call for a Competency Framework in Dental Education.
Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Who Is Really Deciding? AI and Clinical Judgement in Dentistry.International dental journal · 2026Article
- Developing a competency framework for artificial intelligence in undergraduate dental education.Frontiers in dental medicine · 2026Review
- Perspective of Undergraduate Dental Students on Horizontal and Vertical Integrations in Prosthodontics Education: A Mixed-Methods Approach.International journal of dentistry · 2026Article
- Digital intelligence in dental technology education: curriculum and practical teaching reform.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid advances in artificial intelligence (AI) that assist clinical workflows and processes demand systematic educational strategies to cultivate AI competencies within dental curricula. This perspective calls for prioritising educational initiatives to create an AI-proficient dental workforce. AI education should be integrated vertically throughout preclinical to clinical years while ensuring horizontal coherence with existing competencies. Early-stage students should focus on beginner-level competencies, acquiring foundational AI knowledge and ethical considerations. Senior learners should demonstrate the ability to implement AI tools for clinical tasks and to critically interpret AI-generated outputs. Advanced students should be equipped with skills to innovate AI-driven studies and novel applications for oral healthcare. Assessments should also be well designed to capture and evaluate the expected AI competencies. As curricula include massive amounts of both technical and nontechnical content, integrating AI teaching and learning must be carefully balanced with the core competencies required of dental professionals.
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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.