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Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives

In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the...

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Detalles Bibliográficos
Autores principales: Liu, Junqi, Zhang, Chengfei, Shan, Zhiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606213/
https://www.ncbi.nlm.nih.gov/pubmed/37893833
http://dx.doi.org/10.3390/healthcare11202760
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author Liu, Junqi
Zhang, Chengfei
Shan, Zhiyi
author_facet Liu, Junqi
Zhang, Chengfei
Shan, Zhiyi
author_sort Liu, Junqi
collection PubMed
description In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the following domains: (1) diagnosis, including cephalometric analysis, dental analysis, facial analysis, skeletal-maturation-stage determination and upper-airway obstruction assessment; (2) treatment planning, including decision making for extractions and orthognathic surgery, and treatment outcome prediction; and (3) clinical practice, including practice guidance, remote care, and clinical documentation. We have witnessed a broadening of the application of AI in orthodontics, accompanied by advancements in its performance. Additionally, this review outlines the existing limitations within the field and offers future perspectives.
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spelling pubmed-106062132023-10-28 Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives Liu, Junqi Zhang, Chengfei Shan, Zhiyi Healthcare (Basel) Review In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the following domains: (1) diagnosis, including cephalometric analysis, dental analysis, facial analysis, skeletal-maturation-stage determination and upper-airway obstruction assessment; (2) treatment planning, including decision making for extractions and orthognathic surgery, and treatment outcome prediction; and (3) clinical practice, including practice guidance, remote care, and clinical documentation. We have witnessed a broadening of the application of AI in orthodontics, accompanied by advancements in its performance. Additionally, this review outlines the existing limitations within the field and offers future perspectives. MDPI 2023-10-18 /pmc/articles/PMC10606213/ /pubmed/37893833 http://dx.doi.org/10.3390/healthcare11202760 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Liu, Junqi
Zhang, Chengfei
Shan, Zhiyi
Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
title Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
title_full Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
title_fullStr Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
title_full_unstemmed Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
title_short Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives
title_sort application of artificial intelligence in orthodontics: current state and future perspectives
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606213/
https://www.ncbi.nlm.nih.gov/pubmed/37893833
http://dx.doi.org/10.3390/healthcare11202760
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