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An overview of deep learning in the field of dentistry
PURPOSE: Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about deep learning that were applied to the field of oral and maxi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Academy of Oral and Maxillofacial Radiology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444007/ https://www.ncbi.nlm.nih.gov/pubmed/30941282 http://dx.doi.org/10.5624/isd.2019.49.1.1 |
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author | Hwang, Jae-Joon Jung, Yun-Hoa Cho, Bong-Hae Heo, Min-Suk |
author_facet | Hwang, Jae-Joon Jung, Yun-Hoa Cho, Bong-Hae Heo, Min-Suk |
author_sort | Hwang, Jae-Joon |
collection | PubMed |
description | PURPOSE: Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about deep learning that were applied to the field of oral and maxillofacial radiology. MATERIALS AND METHODS: A systematic review was performed using Pubmed, Scopus, and IEEE explore databases to identify articles using deep learning in English literature. The variables from 25 articles included network architecture, number of training data, evaluation result, pros and cons, study object and imaging modality. RESULTS: Convolutional Neural network (CNN) was used as a main network component. The number of published paper and training datasets tended to increase, dealing with various field of dentistry. CONCLUSION: Dental public datasets need to be constructed and data standardization is necessary for clinical application of deep learning in dental field. |
format | Online Article Text |
id | pubmed-6444007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Academy of Oral and Maxillofacial Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-64440072019-04-02 An overview of deep learning in the field of dentistry Hwang, Jae-Joon Jung, Yun-Hoa Cho, Bong-Hae Heo, Min-Suk Imaging Sci Dent Review Article PURPOSE: Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about deep learning that were applied to the field of oral and maxillofacial radiology. MATERIALS AND METHODS: A systematic review was performed using Pubmed, Scopus, and IEEE explore databases to identify articles using deep learning in English literature. The variables from 25 articles included network architecture, number of training data, evaluation result, pros and cons, study object and imaging modality. RESULTS: Convolutional Neural network (CNN) was used as a main network component. The number of published paper and training datasets tended to increase, dealing with various field of dentistry. CONCLUSION: Dental public datasets need to be constructed and data standardization is necessary for clinical application of deep learning in dental field. Korean Academy of Oral and Maxillofacial Radiology 2019-03 2019-03-25 /pmc/articles/PMC6444007/ /pubmed/30941282 http://dx.doi.org/10.5624/isd.2019.49.1.1 Text en Copyright © 2019 by Korean Academy of Oral and Maxillofacial Radiology http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Hwang, Jae-Joon Jung, Yun-Hoa Cho, Bong-Hae Heo, Min-Suk An overview of deep learning in the field of dentistry |
title | An overview of deep learning in the field of dentistry |
title_full | An overview of deep learning in the field of dentistry |
title_fullStr | An overview of deep learning in the field of dentistry |
title_full_unstemmed | An overview of deep learning in the field of dentistry |
title_short | An overview of deep learning in the field of dentistry |
title_sort | overview of deep learning in the field of dentistry |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444007/ https://www.ncbi.nlm.nih.gov/pubmed/30941282 http://dx.doi.org/10.5624/isd.2019.49.1.1 |
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