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Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review
In recent years, the application of artificial intelligence (AI) has become more and more widespread in medicine and dentistry. It may contribute to improved quality of health care as diagnostic methods are getting more accurate and diagnostic errors are rarer in daily medical practice. The aim of t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453867/ https://www.ncbi.nlm.nih.gov/pubmed/37627899 http://dx.doi.org/10.3390/diagnostics13162640 |
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author | Kiełczykowski, Michał Kamiński, Konrad Perkowski, Konrad Zadurska, Małgorzata Czochrowska, Ewa |
author_facet | Kiełczykowski, Michał Kamiński, Konrad Perkowski, Konrad Zadurska, Małgorzata Czochrowska, Ewa |
author_sort | Kiełczykowski, Michał |
collection | PubMed |
description | In recent years, the application of artificial intelligence (AI) has become more and more widespread in medicine and dentistry. It may contribute to improved quality of health care as diagnostic methods are getting more accurate and diagnostic errors are rarer in daily medical practice. The aim of this paper was to present data from the literature on the effectiveness of AI in orthodontic diagnostics based on the analysis of lateral cephalometric radiographs. A review of the literature from 2009 to 2023 has been performed using PubMed, Medline, Scopus and Dentistry & Oral Sciences Source databases. The accuracy of determining cephalometric landmarks using widely available commercial AI-based software and advanced AI algorithms was presented and discussed. Most AI algorithms used for the automated positioning of landmarks on cephalometric radiographs had relatively high accuracy. At the same time, the effectiveness of using AI in cephalometry varies depending on the algorithm or the application type, which has to be accounted for during the interpretation of the results. In conclusion, artificial intelligence is a promising tool that facilitates the identification of cephalometric landmarks in everyday clinical practice, may support orthodontic treatment planning for less experienced clinicians and shorten radiological examination in orthodontics. In the future, AI algorithms used for the automated localisation of cephalometric landmarks may be more accurate than manual analysis. |
format | Online Article Text |
id | pubmed-10453867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104538672023-08-26 Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review Kiełczykowski, Michał Kamiński, Konrad Perkowski, Konrad Zadurska, Małgorzata Czochrowska, Ewa Diagnostics (Basel) Review In recent years, the application of artificial intelligence (AI) has become more and more widespread in medicine and dentistry. It may contribute to improved quality of health care as diagnostic methods are getting more accurate and diagnostic errors are rarer in daily medical practice. The aim of this paper was to present data from the literature on the effectiveness of AI in orthodontic diagnostics based on the analysis of lateral cephalometric radiographs. A review of the literature from 2009 to 2023 has been performed using PubMed, Medline, Scopus and Dentistry & Oral Sciences Source databases. The accuracy of determining cephalometric landmarks using widely available commercial AI-based software and advanced AI algorithms was presented and discussed. Most AI algorithms used for the automated positioning of landmarks on cephalometric radiographs had relatively high accuracy. At the same time, the effectiveness of using AI in cephalometry varies depending on the algorithm or the application type, which has to be accounted for during the interpretation of the results. In conclusion, artificial intelligence is a promising tool that facilitates the identification of cephalometric landmarks in everyday clinical practice, may support orthodontic treatment planning for less experienced clinicians and shorten radiological examination in orthodontics. In the future, AI algorithms used for the automated localisation of cephalometric landmarks may be more accurate than manual analysis. MDPI 2023-08-10 /pmc/articles/PMC10453867/ /pubmed/37627899 http://dx.doi.org/10.3390/diagnostics13162640 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 Kiełczykowski, Michał Kamiński, Konrad Perkowski, Konrad Zadurska, Małgorzata Czochrowska, Ewa Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review |
title | Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review |
title_full | Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review |
title_fullStr | Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review |
title_full_unstemmed | Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review |
title_short | Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review |
title_sort | application of artificial intelligence (ai) in a cephalometric analysis: a narrative review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453867/ https://www.ncbi.nlm.nih.gov/pubmed/37627899 http://dx.doi.org/10.3390/diagnostics13162640 |
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