AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes

Article


Olawade, D. B., Leena, N., Egbon, E., Rai, J., Mohammed, A. P. E. K., Oladapo, B. I. and Boussios, S. 2025. AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes. dentistry journal. 13 (5), p. Art. 198. https://doi.org/10.3390/dj13050198
AuthorsOlawade, D. B., Leena, N., Egbon, E., Rai, J., Mohammed, A. P. E. K., Oladapo, B. I. and Boussios, S.
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.

Journaldentistry journal
Journal citation13 (5), p. Art. 198
ISSN2304-6767
Year2025
PublisherMDPI
Publisher's version
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.3390/dj13050198
Publication dates
Online30 Apr 2025
Publication process dates
Deposited15 Jul 2025
Copyright holder© 2025 The Authors
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License: CC BY 4.0
File access level: Anyone

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