Volume 38 -                   J Dent Med-tums 2025, 38 - : 0-0 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mirhashemi A, Sanaee Y. Artificial intelligence in orthodontics: A narrative review. J Dent Med-tums 2025; 38 : 25
URL: http://jdm.tums.ac.ir/article-1-6361-en.html
1- Dentist, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
Abstract:   (582 Views)
Background and Aims: Artificial intelligence (AI) has emerged as a transformative force in various fields, including orthodontics. AI has demonstrated encouraging results in enhancing diagnostic precision, treatment decision, and outcome prediction. With the accessibility of different AI software, its utilization in orthodontics has grown significantly. In this review study, we examined various applications of artificial intelligence within the field of orthodontics.
Materials and Methods: A comprehensive search was conducted in the PubMed database using the keywords; “Orthodontics” and “Artificial intelligence” between 2020 and 2025. 643 articles were found in the initial search. After eliminating articles based on the inclusion and exclusion criteria, 293 articles remained for full-text review, and finally 38 articles were included in our review to obtain a comprehensive review of the applications of artificial intelligence in orthodontics.
Results: Today, artificial intelligence has been used in different stages of orthodontic treatment, including diagnosis, decision making, outcome prediction and education. It has shown high accuracy in many areas, including cephalometric analysis and treatment planning. However, enhancements are necessary in certain aspects, particularly in space analysis and the prediction of treatment outcomes.
Conclusion: Conducting systematic reviews focusing on each of these applications can provide a better perspective for clinicians to use this technology in their everyday practice.
Article number: 25
Full-Text [PDF 683 kb]   (281 Downloads)    
Type of Study: review article | Subject: Orthodontics

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and Permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2026 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb