Abstract
Digital dentistry, initiated in 1973 by Professor François Duret, has evolved considerably in orthodontics, through the use of digital flow and artificial intelligence (AI). These technologies enable accurate diagnosis, prognosis and treatment. AI has greatly improved the efficiency of diagnosis and treatment planning in orthodontics, with increasing applications due to advances in algorithms, processing and data availability. Objective: Evaluate AI applications for diagnosis, orthodontic treatment planning and improving patient satisfaction. Conclusion: The integration of AI into orthodontics has significantly transformed the way treatment is diagnosed, planned and administered, offering notable advantages in terms of precision and efficiency. However, its use presents challenges, such as the need for specialized training, prior professional experience to determine reference standards and the integration of these technologies into clinical practice. As technology continues to advance, the tools used will be improved and the current limitations overcome.
Publisher
Berbel e Berbel Editora Ltda
Reference14 articles.
1. Malagraba FE, Parenza A, Beti MM, Furlan L. Entendiendo el flujo digital en ortodoncia: desde los sistemas digitales hasta la inteligencia artificial. Revista de la Sociedad Odontologica de La Plata. 2022;63. https://sedici.unlp.edu.ar/handle/10915/155638
2. Morales Bravo R, Pisón Santana L, Hidalgo Rivas A, Palma Díaz E. Estado del arte de inteligencia artificial en ortodoncia. Revisión narrativa. Avances en Odontoestomatología. 06 febrero 2023;38(4):156-163. https://scielo.isciii.es/scielo.php?pid=S0213-12852022000400005&script=sci_arttext
3. Liu J, Zhang C, Shan Z. Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives. Healthcare (Basel, Switzerland). 2023;11(20):2760. https://doi.org/10.3390/healthcare11202760
4. Bichu YM, Hansa I, Bichu AY et al. Applications of artificial intelligence and machine learning in orthodontics: a scoping review. Prog Orthod. 2021;22:18. https://doi.org/10.1186/s40510-021-00361-9
5. Zhu J, Yang Y, Wong HM. Development and accuracy of artificial intelligence-generated prediction of facial changes in orthodontic treatment: a scoping review. Journal of Zhejiang University. Science. 2023;24(11):974–984. https://doi.org/10.1631/jzus.B2300244