What the study found
The authors argue that dental education needs a competency framework for AI (artificial intelligence) because AI is increasingly affecting clinical workflows and processes. They propose that AI learning should be built into dental curricula from the early years through clinical training.
Why the authors say this matters
The study suggests that creating an AI-proficient dental workforce requires systematic educational planning. The authors conclude that AI teaching should be balanced with the core competencies required of dental professionals.
What the researchers tested
This article is a perspective piece rather than an experimental study. The authors discuss how AI education could be organized across preclinical and clinical years, what competencies different student levels should develop, and how assessments should be designed.
What worked and what didn't
The authors propose beginner-level AI knowledge and ethical considerations for early-stage students. They say senior learners should be able to use AI tools for clinical tasks and interpret AI-generated outputs, while advanced students should be able to innovate AI-driven studies and new applications for oral healthcare.
What to keep in mind
The abstract does not report an empirical test of the proposed framework or provide outcome data. It also does not describe specific limitations beyond noting that AI teaching must be carefully balanced with other required dental competencies.
Key points
- The article calls for a competency framework for AI in dental education.
- AI education should be integrated from preclinical to clinical years.
- Early-stage students should learn basic AI knowledge and ethics.
- Senior learners should be able to use AI tools and interpret AI outputs.
- Advanced students should be prepared to innovate AI-driven studies and applications.
- The authors say AI teaching must be balanced with core dental competencies.
Disclosure
- Research title:
- Dental education should build AI competencies throughout training
- 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
- OpenAlex record:
- View
Get the weekly research newsletter
Stay current with scholarly research without reading academic papers — one filtered digest, every Friday.