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Artificial Intelligence in Orthodontics: A Scoping Review of Methods and Applications
Yodhathai Satravaha1, Chaiyapol Chaweewannakorn1, Kawin Sipiyaruk1
1Department of Orthodontics, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.
Orthodontics & Craniofacial Research
|August 5, 2026
Summary
Artificial intelligence (AI) is rapidly integrating into orthodontics. This review explores AI applications, validation methods, and implementation barriers, highlighting the need for expert collaboration in AI-driven orthodontic advancements.
Area of Science:
- Orthodontics
- Artificial Intelligence
- Health Informatics
Background:
- Artificial intelligence (AI) integration in orthodontics is accelerating.
- Key questions surround AI methods, validation, and clinical implementation barriers.
- Orthodontic practitioners, researchers, and educators require insights into AI's potential.
Purpose of the Study:
- To inform stakeholders about AI possibilities in orthodontics.
- To emphasize the need for increased expert collaboration in AI adoption.
- To review the current landscape of AI applications in orthodontics.
Main Methods:
- Scoping review of literature from January 2000 to August 2024.
- Searches conducted across PubMed, Scopus, Embase, and ProQuest Dissertations & Theses Global (PQDT).
- Included clinical studies on AI design and implementation in orthodontics; 110 full-text articles analyzed.
Main Results:
- Identified 110 relevant articles focusing on AI in diagnosis, treatment planning, practice management, device evaluation, and education.
- Provided insights into AI utilization across various orthodontic aspects.
- Highlighted challenges in integrating AI-driven methods and identified knowledge gaps.
Conclusions:
- AI offers significant potential across diverse orthodontic applications.
- Addressing implementation barriers and fostering collaboration are crucial for AI advancement.
- Further research is needed to fill identified knowledge gaps in AI-driven orthodontics.
