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Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer

Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI technology can be subdivided into many technologies such as machine learning and deep learning. The application scope and prospect of different technologies are also totally different. Currently, AI technologie...

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Autores principales: Liang, Feng, Wang, Shu, Zhang, Kai, Liu, Tong-Jun, Li, Jian-Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790413/
https://www.ncbi.nlm.nih.gov/pubmed/35116107
http://dx.doi.org/10.4251/wjgo.v14.i1.124
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author Liang, Feng
Wang, Shu
Zhang, Kai
Liu, Tong-Jun
Li, Jian-Nan
author_facet Liang, Feng
Wang, Shu
Zhang, Kai
Liu, Tong-Jun
Li, Jian-Nan
author_sort Liang, Feng
collection PubMed
description Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI technology can be subdivided into many technologies such as machine learning and deep learning. The application scope and prospect of different technologies are also totally different. Currently, AI technologies play a pivotal role in the highly complex and wide-ranging medical field, such as medical image recognition, biotechnology, auxiliary diagnosis, drug research and development, and nutrition. Colorectal cancer (CRC) is a common gastrointestinal cancer that has a high mortality, posing a serious threat to human health. Many CRCs are caused by the malignant transformation of colorectal polyps. Therefore, early diagnosis and treatment are crucial to CRC prognosis. The methods of diagnosing CRC are divided into imaging diagnosis, endoscopy, and pathology diagnosis. Treatment methods are divided into endoscopic treatment, surgical treatment, and drug treatment. AI technology is in the weak era and does not have communication capabilities. Therefore, the current AI technology is mainly used for image recognition and auxiliary analysis without in-depth communication with patients. This article reviews the application of AI in the diagnosis, treatment, and prognosis of CRC and provides the prospects for the broader application of AI in CRC.
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spelling pubmed-87904132022-02-02 Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer Liang, Feng Wang, Shu Zhang, Kai Liu, Tong-Jun Li, Jian-Nan World J Gastrointest Oncol Review Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI technology can be subdivided into many technologies such as machine learning and deep learning. The application scope and prospect of different technologies are also totally different. Currently, AI technologies play a pivotal role in the highly complex and wide-ranging medical field, such as medical image recognition, biotechnology, auxiliary diagnosis, drug research and development, and nutrition. Colorectal cancer (CRC) is a common gastrointestinal cancer that has a high mortality, posing a serious threat to human health. Many CRCs are caused by the malignant transformation of colorectal polyps. Therefore, early diagnosis and treatment are crucial to CRC prognosis. The methods of diagnosing CRC are divided into imaging diagnosis, endoscopy, and pathology diagnosis. Treatment methods are divided into endoscopic treatment, surgical treatment, and drug treatment. AI technology is in the weak era and does not have communication capabilities. Therefore, the current AI technology is mainly used for image recognition and auxiliary analysis without in-depth communication with patients. This article reviews the application of AI in the diagnosis, treatment, and prognosis of CRC and provides the prospects for the broader application of AI in CRC. Baishideng Publishing Group Inc 2022-01-15 2022-01-15 /pmc/articles/PMC8790413/ /pubmed/35116107 http://dx.doi.org/10.4251/wjgo.v14.i1.124 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: http://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Review
Liang, Feng
Wang, Shu
Zhang, Kai
Liu, Tong-Jun
Li, Jian-Nan
Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
title Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
title_full Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
title_fullStr Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
title_full_unstemmed Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
title_short Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
title_sort development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790413/
https://www.ncbi.nlm.nih.gov/pubmed/35116107
http://dx.doi.org/10.4251/wjgo.v14.i1.124
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