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Potential role of artificial intelligence in craniofacial surgery
The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive med...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Cleft Palate-Craniofacial Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568494/ https://www.ncbi.nlm.nih.gov/pubmed/34732033 http://dx.doi.org/10.7181/acfs.2021.00507 |
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author | Ryu, Jeong Yeop Chung, Ho Yun Choi, Kang Young |
author_facet | Ryu, Jeong Yeop Chung, Ho Yun Choi, Kang Young |
author_sort | Ryu, Jeong Yeop |
collection | PubMed |
description | The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery. |
format | Online Article Text |
id | pubmed-8568494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Cleft Palate-Craniofacial Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-85684942021-11-18 Potential role of artificial intelligence in craniofacial surgery Ryu, Jeong Yeop Chung, Ho Yun Choi, Kang Young Arch Craniofac Surg Review Article The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery. Korean Cleft Palate-Craniofacial Association 2021-10 2021-10-20 /pmc/articles/PMC8568494/ /pubmed/34732033 http://dx.doi.org/10.7181/acfs.2021.00507 Text en Copyright © 2021 The Korean Cleft Palate-Craniofacial Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Ryu, Jeong Yeop Chung, Ho Yun Choi, Kang Young Potential role of artificial intelligence in craniofacial surgery |
title | Potential role of artificial intelligence in craniofacial surgery |
title_full | Potential role of artificial intelligence in craniofacial surgery |
title_fullStr | Potential role of artificial intelligence in craniofacial surgery |
title_full_unstemmed | Potential role of artificial intelligence in craniofacial surgery |
title_short | Potential role of artificial intelligence in craniofacial surgery |
title_sort | potential role of artificial intelligence in craniofacial surgery |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568494/ https://www.ncbi.nlm.nih.gov/pubmed/34732033 http://dx.doi.org/10.7181/acfs.2021.00507 |
work_keys_str_mv | AT ryujeongyeop potentialroleofartificialintelligenceincraniofacialsurgery AT chunghoyun potentialroleofartificialintelligenceincraniofacialsurgery AT choikangyoung potentialroleofartificialintelligenceincraniofacialsurgery |