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Review
. 2021 Jan;16(1):482-492.
doi: 10.1016/j.jds.2020.05.022. Epub 2020 Jun 5.

Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review

Sanjeev B Khanagar  1   2 , Ali Al-Ehaideb  1   2   3 , Satish Vishwanathaiah  4 , Prabhadevi C Maganur  4 , Shankargouda Patil  5 , Sachin Naik  6 , Hosam A Baeshen  7 , Sachin S Sarode  8
Affiliations
Review

Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review

Sanjeev B Khanagar et al. J Dent Sci. 2021 Jan.

Abstract

Background/purpose: In the recent years artificial intelligence (AI) has revolutionized in the field of dentistry. The aim of this systematic review was to document the scope and performance of the artificial intelligence based models that have been widely used in orthodontic diagnosis, treatment planning, and predicting the prognosis.

Materials and methods: The literature for this paper was identified and selected by performing a thorough search for articles in the electronic data bases like Pubmed, Medline, Embase, Cochrane, and Google scholar, Scopus and Web of science, Saudi digital library published over the past two decades (January 2000-February 2020). After applying the inclusion and exclusion criteria, 16 articles were read in full and critically analyzed. QUADAS-2 were adapted for quality analysis of the studies included.

Results: AI technology has been widely applied for identifying cephalometric landmarks, determining need for orthodontic extractions, determining the degree of maturation of the cervical vertebra, predicting the facial attractiveness after orthognathic surgery, predicting the need for orthodontic treatment, and orthodontic treatment planning. Most of these artificial intelligence models are based on either artificial neural networks (ANNs) or convolutional neural networks (CNNs).

Conclusion: The results from these reported studies are suggesting that these automated systems have performed exceptionally well, with an accuracy and precision similar to the trained examiners. These systems can simplify the tasks and provide results in quick time which can save the dentist time and help the dentist to perform his duties more efficiently. These systems can be of great value in orthodontics.

Keywords: Artificial intelligence; Artificial neural networks; Automated orthodontic diagnosis; Convolutional neural networks; Deep learning; Machine learning.

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Conflict of interest statement

The authors have no conflicts of interest relevant to this article.

Figures

Figure 1
Figure 1
Flow chart for screening and selection of articles.
Figure 2
Figure 2
Trends of research on AI in orthodontics.
Figure 3
Figure 3
Application of AI technology in orthodontics.
Figure 4
Figure 4
Assessment of individual risk of bias domains.
Figure 5
Figure 5
Applicability concerns.
See this image and copyright information in PMC

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