The Transformative Role of Artificial Intelligence in Orthodontics: Revolutionizing Diagnosis and Treatment Planning
Journal of Dental School,
Vol. 41 No. 3 (2023),
21 March 2024
https://doi.org/10.22037/jds.v41i3.44471
Abstract
Artificial intelligence (AI) technologies in orthodontics improve accuracy and personalization, automating tasks such as identifying reference points in cephalograms, assessing skeletal age, and predicting treatment needs. Treatment planning is streamlined, reducing duration and enhancing outcomes. Machine learning enables virtual exploration of treatment options and prediction of tooth movement. AI visualization tools improve patient communication. Ethical considerations and patient privacy are important. AI complements orthodontists' expertise, resulting in personalized plans and improved outcomes.
- Orthodontics
- artificial intelligence
- 2024-03-13 (2)
- 2024-03-13 (1)
How to Cite
References
Monill‐González A, Rovira‐Calatayud L, d’Oliveira NG, Ustrell‐Torrent JM. Artificial intelligence in orthodontics: Where are we now? A scoping review. Orthod Craniofac Res. 2021. Suppl 2:6-15.
Dobratulin K, Gaidel A, Kapishnikov A, Ivleva A, Aupova I, Zelter P, et al. The efficiency of deep learning algorithms for detecting anatomical reference points on radiological images of the head profile. International Conference on Information Technology and Nanotechnology (ITNT). 2020; IEEE.p:1-6.
Kök H, Acilar AM, İzgi MS. Usage and comparison of artificial intelligence algorithms for determination of growth and development by cervical vertebrae stages in orthodontics. Prog Orthod. 2019; 20(1):41.
Thanathornwong B. Bayesian-based decision support system for assessing the needs for orthodontic treatment. Healthc Inform Res. 2018; 24(1):22-28.
Choi H-I, Jung S-K, Baek S-H, Lim WH, Ahn S-J, Yang I-H, Kim T-W. Artificial intelligent model with neural network machine learning for the diagnosis of orthognathic surgery. J Craniofac Surg. 2019; 30(7):1986-9.
Jung S-K, Kim T-W. New approach for the diagnosis of extractions with neural network machine learning. Am J Orthod Dentofacial Orthop. 2016; 149(1):127-33.
Nayyar N, Ojcius DM, Dugoni AA. The role of medicine and technology in shaping the future of oral health. J Calif Dent Assoc. 2020;48(3):127-30.
Sun D, Pei Y, Song G, Guo Y, Ma G, Xu T, Zha H, editors. Tooth segmentation and labeling from digital dental casts. IEEE 17th International Symposium on Biomedical Imaging (ISBI). 2020;IEEE. p:669-73.
Tanikawa C, Yamashiro T. Development of novel artificial intelligence systems to predict facial morphology after orthognathic surgery and orthodontic treatment in Japanese patients. Sci Rep. 2021;11(1):15853.
- Abstract Viewed: 266 times
- PDF Downloaded: 53 times