The application of artificial intelligence and radiomics in lung cancer

Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomi...

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Detalles Bibliográficos
Autores principales: Zhou, Yaojie, Xu, Xiuyuan, Song, Lujia, Wang, Chengdi, Guo, Jixiang, Yi, Zhang, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982538/
https://www.ncbi.nlm.nih.gov/pubmed/35694416
http://dx.doi.org/10.1093/pcmedi/pbaa028
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author Zhou, Yaojie
Xu, Xiuyuan
Song, Lujia
Wang, Chengdi
Guo, Jixiang
Yi, Zhang
Li, Weimin
author_facet Zhou, Yaojie
Xu, Xiuyuan
Song, Lujia
Wang, Chengdi
Guo, Jixiang
Yi, Zhang
Li, Weimin
author_sort Zhou, Yaojie
collection PubMed
description Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images. With the integration of AI and radiomics, great progress has been made in the early diagnosis, specific characterization, and prognosis of lung cancer, which has aroused attention all over the world. In this study, we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.
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spelling pubmed-89825382022-06-10 The application of artificial intelligence and radiomics in lung cancer Zhou, Yaojie Xu, Xiuyuan Song, Lujia Wang, Chengdi Guo, Jixiang Yi, Zhang Li, Weimin Precis Clin Med Review Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images. With the integration of AI and radiomics, great progress has been made in the early diagnosis, specific characterization, and prognosis of lung cancer, which has aroused attention all over the world. In this study, we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer. Oxford University Press 2020-08-24 /pmc/articles/PMC8982538/ /pubmed/35694416 http://dx.doi.org/10.1093/pcmedi/pbaa028 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the West China School of Medicine & West China Hospital of Sichuan University. 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 non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Review
Zhou, Yaojie
Xu, Xiuyuan
Song, Lujia
Wang, Chengdi
Guo, Jixiang
Yi, Zhang
Li, Weimin
The application of artificial intelligence and radiomics in lung cancer
title The application of artificial intelligence and radiomics in lung cancer
title_full The application of artificial intelligence and radiomics in lung cancer
title_fullStr The application of artificial intelligence and radiomics in lung cancer
title_full_unstemmed The application of artificial intelligence and radiomics in lung cancer
title_short The application of artificial intelligence and radiomics in lung cancer
title_sort application of artificial intelligence and radiomics in lung cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982538/
https://www.ncbi.nlm.nih.gov/pubmed/35694416
http://dx.doi.org/10.1093/pcmedi/pbaa028
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