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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...

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Autores principales: Kiełczykowski, Michał, Kamiński, Konrad, Perkowski, Konrad, Zadurska, Małgorzata, Czochrowska, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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