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AI-driven advancements in orthodontics for precision and patient outcomes

Olawade, David B., Leena, Navami, Egbon, Eghosasere, Rai, Jeniya, Mohammed, Aysha P. E. K., Oladapo, Bankole I., Boussios, Stergios (2025) AI-driven advancements in orthodontics for precision and patient outcomes. Dentistry Journal, 13 (5). Article Number 198. ISSN 2304-6767. (doi:10.3390/dj13050198) (KAR id:109866)

Abstract

Artificial Intelligence (AI) is rapidly transforming orthodontic care by providing personalized treatment plans that enhance precision and efficiency. This narrative review explores the current applications of AI in orthodontics, particularly its role in predicting tooth movement, fabricating custom aligners, optimizing treatment times, and offering real-time patient monitoring. AI’s ability to analyze large datasets of dental records, X-rays, and 3D scans allows for highly individualized treatment plans, improving both clinical outcomes and patient satisfaction. AI-driven aligners and braces are designed to apply optimal forces to teeth, reducing treatment time and discomfort. Additionally, AI-powered remote monitoring tools enable patients to check their progress from home, decreasing the need for in-person visits and making orthodontic care more accessible. The review also highlights future prospects, such as the integration of AI with robotics for performing orthodontic procedures, predictive orthodontics for early intervention, and the use of 3D printing technologies to fabricate orthodontic devices in real-time. While AI offers tremendous potential, challenges remain in areas such as data privacy, algorithmic bias, and the cost of adopting AI technologies. However, as AI continues to evolve, its capacity to revolutionize orthodontic care will likely lead to more streamlined, patient-centered, and effective treatments. This review underscores the transformative role of AI in modern orthodontics and its promising future in advancing dental care.

Item Type: Article
DOI/Identification number: 10.3390/dj13050198
Uncontrolled keywords: artificial intelligence; personalized orthodontics; tooth movement prediction; aligner fabrication; remote monitoring; dental care
Subjects: R Medicine > RK Dentistry
Institutional Unit: Schools > Kent and Medway Medical School
Former Institutional Unit:
There are no former institutional units.
Funders: University of Kent (https://ror.org/00xkeyj56)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 28 May 2025 09:42 UTC
Last Modified: 22 Jul 2025 09:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/109866 (The current URI for this page, for reference purposes)

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