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Deep learning and artificial intelligence in dental diagnostic imaging

The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images. Classification tasks are used to classify images with and without positive abnormal findings or to eva...

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Detalles Bibliográficos
Autor principal: Katsumata, Akitoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551806/
https://www.ncbi.nlm.nih.gov/pubmed/37811196
http://dx.doi.org/10.1016/j.jdsr.2023.09.004
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author Katsumata, Akitoshi
author_facet Katsumata, Akitoshi
author_sort Katsumata, Akitoshi
collection PubMed
description The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images. Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging.
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spelling pubmed-105518062023-10-06 Deep learning and artificial intelligence in dental diagnostic imaging Katsumata, Akitoshi Jpn Dent Sci Rev Article The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images. Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging. Elsevier 2023-12 2023-09-30 /pmc/articles/PMC10551806/ /pubmed/37811196 http://dx.doi.org/10.1016/j.jdsr.2023.09.004 Text en © 2023 Published by Elsevier Ltd on behalf of The Japanese Association for Dental Science. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Katsumata, Akitoshi
Deep learning and artificial intelligence in dental diagnostic imaging
title Deep learning and artificial intelligence in dental diagnostic imaging
title_full Deep learning and artificial intelligence in dental diagnostic imaging
title_fullStr Deep learning and artificial intelligence in dental diagnostic imaging
title_full_unstemmed Deep learning and artificial intelligence in dental diagnostic imaging
title_short Deep learning and artificial intelligence in dental diagnostic imaging
title_sort deep learning and artificial intelligence in dental diagnostic imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551806/
https://www.ncbi.nlm.nih.gov/pubmed/37811196
http://dx.doi.org/10.1016/j.jdsr.2023.09.004
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