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Artificial intelligence in dentomaxillofacial radiology
Artificial intelligence (AI) has the potential to revolutionize healthcare and dentistry. Recently, there has been much interest in the development of AI applications. Dentomaxillofacial radiology (DMFR) is within the scope of these applications due to its compatibility with image processing methods...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966498/ https://www.ncbi.nlm.nih.gov/pubmed/35432776 http://dx.doi.org/10.4329/wjr.v14.i3.55 |
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author | Gokdeniz, Seyide Tugce Kamburoğlu, Kıvanç |
author_facet | Gokdeniz, Seyide Tugce Kamburoğlu, Kıvanç |
author_sort | Gokdeniz, Seyide Tugce |
collection | PubMed |
description | Artificial intelligence (AI) has the potential to revolutionize healthcare and dentistry. Recently, there has been much interest in the development of AI applications. Dentomaxillofacial radiology (DMFR) is within the scope of these applications due to its compatibility with image processing methods. Classification and segmentation of teeth, automatic marking of anatomical structures and cephalometric analysis, determination of early dental diseases, gingival, periodontal diseases and evaluation of risk groups, diagnosis of certain diseases, such as; osteoporosis that can be detected in jaw radiographs are among studies conducted by using radiological images. Further research in the field of AI will make great contributions to DMFR. We aim to discuss most recent AI-based studies in the field of DMFR. |
format | Online Article Text |
id | pubmed-8966498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-89664982022-04-14 Artificial intelligence in dentomaxillofacial radiology Gokdeniz, Seyide Tugce Kamburoğlu, Kıvanç World J Radiol Editorial Artificial intelligence (AI) has the potential to revolutionize healthcare and dentistry. Recently, there has been much interest in the development of AI applications. Dentomaxillofacial radiology (DMFR) is within the scope of these applications due to its compatibility with image processing methods. Classification and segmentation of teeth, automatic marking of anatomical structures and cephalometric analysis, determination of early dental diseases, gingival, periodontal diseases and evaluation of risk groups, diagnosis of certain diseases, such as; osteoporosis that can be detected in jaw radiographs are among studies conducted by using radiological images. Further research in the field of AI will make great contributions to DMFR. We aim to discuss most recent AI-based studies in the field of DMFR. Baishideng Publishing Group Inc 2022-03-28 2022-03-28 /pmc/articles/PMC8966498/ /pubmed/35432776 http://dx.doi.org/10.4329/wjr.v14.i3.55 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
spellingShingle | Editorial Gokdeniz, Seyide Tugce Kamburoğlu, Kıvanç Artificial intelligence in dentomaxillofacial radiology |
title | Artificial intelligence in dentomaxillofacial radiology |
title_full | Artificial intelligence in dentomaxillofacial radiology |
title_fullStr | Artificial intelligence in dentomaxillofacial radiology |
title_full_unstemmed | Artificial intelligence in dentomaxillofacial radiology |
title_short | Artificial intelligence in dentomaxillofacial radiology |
title_sort | artificial intelligence in dentomaxillofacial radiology |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966498/ https://www.ncbi.nlm.nih.gov/pubmed/35432776 http://dx.doi.org/10.4329/wjr.v14.i3.55 |
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