Preparing the AI-Ready Dentist: A Call for a Competency Framework in Dental Education

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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Publication Details

Journal
International Dental Journal
Published
2026-02-19
DOI
https://doi.org/10.1016/j.identj.2026.109450
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
35.40
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article

Preparing the AI-Ready Dentist: A Call for a Competency Framework in Dental Education

Thanaphum Noom Osathanon, Prof Dr Falk Schwendicke, Anjalee Vacharaksa, Lakshman Samaranayake
2 citations
International Dental Journal
Artificial Intelligence in Healthcare and Education
35.40
article

Preparing the AI-Ready Dentist: A Call for a Competency Framework in Dental Education

Thanaphum Noom Osathanon, Prof Dr Falk Schwendicke, Anjalee Vacharaksa, Lakshman Samaranayake
article en
2 citations

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.

International Dental JournalVol. 76(2)
Chulalongkorn University (TH), LMU Klinikum (DE), Dr. D.Y. Patil Vidyapeeth, Pune (IN), Ludwig-Maximilians-Universität München (DE), University of Hong Kong (HK)
Quality Education
Openalex Percentile: Top 0%
Artificial Intelligence in Healthcare and Education
35.40
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Preparing the AI-Ready Dentist: A Call for a Competency Framework in Dental Education — Thanaphum Noom Osathanon, Prof Dr Falk Schwendicke, et al. · International Dental Journal (2026) | TGRS Research Map | TGRS