Fawaz P, El Sayegh P, Vande Vannet B. Artificial intelligence in revolutionizing orthodontic practice. World J Methodol 2025; 15(3): 100598 [DOI: 10.5662/wjm.v15.i3.100598]
Corresponding Author of This Article
Bart Vande Vannet, DDS, MSc, PhD, Professor, Department of Orthodontics, University Lorraine, Nancy 54000, France. bart.vande-vannet@univ-lorraine.fr
Research Domain of This Article
Dentistry, Oral Surgery & Medicine
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Methodol. Sep 20, 2025; 15(3): 100598 Published online Sep 20, 2025. doi: 10.5662/wjm.v15.i3.100598
Artificial intelligence in revolutionizing orthodontic practice
Paul Fawaz, Patrick El Sayegh, Bart Vande Vannet
Paul Fawaz, Bart Vande Vannet, Faculty of Dentistry, Department of Orthodontics, University Lorraine, Nancy 54000, France
Patrick El Sayegh, Faculty of Dentistry, Saint Joseph University of Beirut, Beirouth 11042020, Lebanon
Bart Vande Vannet, Institut Jean Lamour, Campus Artem (403), University Lorraine, Nancy 54000, France
Co-first authors: Paul Fawaz and Patrick El Sayegh.
Author contributions: Fawaz P contributed to conceptualization, developing the ideas or research goals, writing-review and editing, creating visual representations of data or results, such as graphs or figures; Sayegh PE contributed to conceptualization, developing the ideas or research goals, designing the methodology or models used in the study, collecting and managing data, applying statistical, mathematical, or computational techniques to analyze data, writing-review and editing, performing experiments or gathering data; Vannet BV contributed to conceptualization, developing the ideas or research goals, writing-review and editing, designing the methodology or models used in the study, providing materials, funding, or other resources necessary for the research, overseeing the research process and team, managing the overall project, timelines, and logistics, confirming the accuracy or reproducibility of results.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bart Vande Vannet, DDS, MSc, PhD, Professor, Department of Orthodontics, University Lorraine, Nancy 54000, France. bart.vande-vannet@univ-lorraine.fr
Received: August 20, 2024 Revised: October 7, 2024 Accepted: December 18, 2024 Published online: September 20, 2025 Processing time: 197 Days and 19 Hours
Abstract
This analytical research paper explores the transformative impact of artificial intelligence (AI) in orthodontics, with a focus on its objectives: Identifying current applications, evaluating benefits, addressing challenges, and projecting future developments. AI, a subset of computer science designed to simulate human intelligence, has seen rapid integration into orthodontic practice. The paper examines AI technologies such as machine learning, deep learning, natural language processing, computer vision, and robotics, which are increasingly used to analyze patient data, assist with diagnosis and treatment planning, automate routine tasks, and improve patient communication. AI systems offer precise malocclusion diagnoses, predict treatment outcomes, and customize treatment plans by leveraging dental imagery. They also streamline image analysis, improve diagnostic accuracy, and enhance patient engagement through personalized communication. The objectives include evaluating the benefits of AI in terms of efficiency, accuracy, and personalized care, while acknowledging the challenges like data quality, algorithm transparency, and practical implementation. Despite these hurdles, AI presents promising prospects in advanced imaging, predictive analytics, and clinical decision-making. In conclusion, AI holds the potential to revolutionize orthodontic practices by improving operational efficiency, diagnostic precision and patient outcomes. With collaborative efforts to overcome challenges, AI could play a pivotal role in advancing orthodontic care.
Core Tip: This paper explores the future of orthodontics, highlighting the integration of artificial intelligence (AI) and digital technologies. AI is becoming crucial in treatment planning, yet clinicians remain essential in decision-making. The growing role of 3D digital technologies in orthodontics reflects AI's increasing influence, but ethical and legal challenges persist. Emphasizing the need for clinical trials, the study calls for further exploration of AI's potential to transform traditional orthodontic practices.
