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AI Summary of Peer-Reviewed Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. [See full disclosure ↓]

Publishing process signals: STRONG — reflects the venue and review process. — venue and review process.

Dental education should include AI competencies

Two women in a contemporary dental education setting view a digital dental imaging display on a computer monitor showing a panoramic X-ray of teeth; the woman on the left wears a green medical uniform and appears to be instructing or discussing the image with the woman seated on the right.
Research area:Medical educationArtificial Intelligence in Healthcare and EducationCurriculum

What the study found

The study argues that dental curricula should include artificial intelligence (AI) competencies throughout training. It says early students should learn basic AI knowledge and ethics, while senior students should learn to use AI tools in clinical tasks and interpret AI outputs critically.

Why the authors say this matters

The authors say rapid advances in AI that support clinical workflows and processes require systematic educational strategies. They conclude that dental education should help create an AI-proficient dental workforce and that AI teaching must be balanced with core dental competencies.

What the researchers tested

This is a perspective article, not an empirical study. The authors propose integrating AI education vertically from preclinical to clinical years and horizontally with existing competencies, with assessments designed to measure expected AI competencies.

What worked and what didn't

The abstract does not report tested interventions or comparative results. Instead, it outlines a staged framework: beginner-level AI knowledge and ethics for early-stage students, clinical implementation and critical interpretation for senior learners, and AI-driven study design and novel applications for advanced students.

What to keep in mind

The abstract does not describe limitations of the proposal or provide data on effectiveness. It also notes that AI teaching must be balanced against the large amount of technical and nontechnical content already in dental curricula.

Key points

  • The article calls for a competency framework for AI in dental education.
  • It recommends AI teaching across preclinical to clinical years.
  • Early students should learn foundational AI knowledge and ethical considerations.
  • Senior learners should be able to use AI tools in clinical tasks and interpret outputs critically.
  • Advanced students should be prepared to innovate AI-driven studies and applications for oral healthcare.
  • The abstract does not report empirical results or tested outcomes.

Disclosure

Research title:
Dental education should include AI competencies
Authors:
Thanaphum Osathanon, Anjalee Vacharaksa, Prof Dr Falk Schwendicke, Lakshman Samaranayake
Institutions:
Chulalongkorn University, Chulalongkorn University, Dr. D.Y. Patil Vidyapeeth, Pune, LMU Klinikum, Ludwig-Maximilians-Universität München, University of Hong Kong
Publication date:
2026-02-19
DOI:
10.1016/j.identj.2026.109450
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.

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