AI INNOVATIONS IN DIAGNOSIS AND TREATMENT PLANNING IN ORTHODONTICS

Authors

DOI:

https://doi.org/10.47820/recisatec.v4i2.359

Keywords:

"Artificial intelligence", "Cephalometry", "Diagnosis", "Machine learning", "Orthodontics"

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.

 

Downloads

Download data is not yet available.

Author Biographies

María Yolanda Yunga Picón

Docente titular de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

Monica Beatriz Dávila Arcentales

Docente de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

Milton Fabricio Lafebre Carrasco

Docente titular de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

Mayte Alejandra González Sánchez , Universidad de Cuenca

Estudiante de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

Camila Elizabeth Esparza Encalada

Estudiante de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

María Salome Villacís Rodríguez

Estudiante de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

Gianella Fernanda Malla Dominguez

Estudiante de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

José Luis González Chalán

Estudiante de la Facultad de Odontología de la Universidad de Cuenca-Ecuador.

References

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

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 DOI: https://doi.org/10.4321/s0213-12852022000400005

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 DOI: https://doi.org/10.3390/healthcare11202760

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 DOI: https://doi.org/10.1186/s40510-021-00361-9

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 DOI: https://doi.org/10.1631/jzus.B2300244

Homsi K, Snider V, Kusnoto B, Atsawasuwan P, Viana G, Allareddy V, Gajendrareddy P, Elnagar MH. In-vivo evaluation of Artificial Intelligence Driven Remote Monitoring technology for tracking tooth movement and reconstruction of 3-dimensional digital models during orthodontic treatment. American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics. 2023;164(5):690–699. https://doi.org/10.1016/j.ajodo.2023.04.019 DOI: https://doi.org/10.1016/j.ajodo.2023.04.019

Moylan HB, Carrico CK, Lindauer SJ, Tüfekçi E. Accuracy of a smartphone-based orthodontic treatment-monitoring application: A pilot study. The Angle orthodontist. 2019;89(5):727–733. https://doi.org/10.2319/100218-710.1 DOI: https://doi.org/10.2319/100218-710.1

Ferlito T, Hsiou D, Hargett K, Herzog C, Bachour P, Katebi N, Tokede O, Larson B, Masoud M. I. Assessment of artificial intelligence-based remote monitoring of clear aligner therapy: A prospective study. American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics. 2023;164(2):194–200. https://doi.org/10.1016/j.ajodo.2022.11.020 DOI: https://doi.org/10.1016/j.ajodo.2022.11.020

Tomás I, Seoane J. La aplicación de la inteligencia artificial en el avance de las ciencias odontológicas. 2023. [Internet]. Disponible en: https://www.acodes.es/doc/Discurso_Inmaculada_Tomas.pdf

Mónica M, Furlan L, Villalba D. Inteligencia artificial, una mirada al futuro. Perspectiva histórica y evolución de la Ortodoncia. 2022;86(172):74-77. Disponible en: https://docs.bvsalud.org/biblioref/2023/06/1436440/ortodoncia-202286-172-74-77.pdf

Du W, Bi W, Liu Y, Zhu Z, Tai Y, Luo E. Machine learning-based decision support system for orthognathic diagnosis and treatment planning. BMC Oral Health. 2024;24(1). https://doi.org/10.1186/s12903-024-04063-6 DOI: https://doi.org/10.1186/s12903-024-04063-6

Strunga M, Urban R, Surovková J, Thurzo A. Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment. Healthcare 2023;11:683. https://doi.org/10.3390/healthcare11050683 DOI: https://doi.org/10.3390/healthcare11050683

Albalawi F, Alamoud KA. Trends and Application of Artificial Intelligence Technology in Orthodontic Diagnosis and Treatment Planning—A Review. Applied Sciences. 2022;12(22):11864. https://doi.org/10.3390/app122211864 DOI: https://doi.org/10.3390/app122211864

Kiełczykowski M, Kamiński K, Perkowski K, Zadurska M, Czochrowska E. Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review. Diagnostics (Basel, Switzerland). 2023;13(16):2640. https://doi.org/10.3390/diagnostics13162640 DOI: https://doi.org/10.3390/diagnostics13162640

Downloads

Published

2024-07-09

How to Cite

Yunga Picón, M. Y., Dávila Arcentales, M. B., Lafebre Carrasco, M. F., González Sánchez , M. A., Esparza Encalada, C. E., Villacís Rodríguez, M. S., … González Chalán, J. L. (2024). AI INNOVATIONS IN DIAGNOSIS AND TREATMENT PLANNING IN ORTHODONTICS. RECISATEC - SCIENTIFIC JOURNAL HEALTH AND TECHNOLOGY, 4(2), e42359. https://doi.org/10.47820/recisatec.v4i2.359

Similar Articles

<< < 2 3 4 5 6 7 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)