Application of artificial intelligence technology in whole course management of colorectal cancer

With the rapid development of science and technology, artificial intelligence(AI) is much often experimentally used in the diagnosis, treatment, and prognosis prediction of many diseases. The principle of colorectal cancer treatment has changed from simply treating tumors to prolonging the patient&#...

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Main Author: WANG Pei-pei, WU Bin
Format: Article
Language:zho
Published: Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College. 2020-11-01
Series:Jichu yixue yu linchuang
Subjects:
Online Access:http://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/a200368.pdf
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author WANG Pei-pei, WU Bin
author_facet WANG Pei-pei, WU Bin
author_sort WANG Pei-pei, WU Bin
collection DOAJ
description With the rapid development of science and technology, artificial intelligence(AI) is much often experimentally used in the diagnosis, treatment, and prognosis prediction of many diseases. The principle of colorectal cancer treatment has changed from simply treating tumors to prolonging the patient's survival and improving their life quality. The concept of tumor overall management has thus being developed. In this paper, the development of AI technology in the whole course management of colorectal cancer is reviewed and through which to provide an outlook of prospecting a more deeply and widely use of AI technology in the whole course management of colorectal cancer.
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publishDate 2020-11-01
publisher Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
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series Jichu yixue yu linchuang
spelling doaj.art-8376fd41891e4589bc8f8ebbcd4394612024-01-05T03:17:40ZzhoInstitute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.Jichu yixue yu linchuang1001-63252020-11-01401115701573Application of artificial intelligence technology in whole course management of colorectal cancerWANG Pei-pei, WU Bin0Department of General Surgery; Peking Union Medical College Hospital, CAMS & PUMC, Beijing 100730, ChinaWith the rapid development of science and technology, artificial intelligence(AI) is much often experimentally used in the diagnosis, treatment, and prognosis prediction of many diseases. The principle of colorectal cancer treatment has changed from simply treating tumors to prolonging the patient's survival and improving their life quality. The concept of tumor overall management has thus being developed. In this paper, the development of AI technology in the whole course management of colorectal cancer is reviewed and through which to provide an outlook of prospecting a more deeply and widely use of AI technology in the whole course management of colorectal cancer.http://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/a200368.pdfwhole course management|machine learning|colorectal cancer
spellingShingle WANG Pei-pei, WU Bin
Application of artificial intelligence technology in whole course management of colorectal cancer
Jichu yixue yu linchuang
whole course management|machine learning|colorectal cancer
title Application of artificial intelligence technology in whole course management of colorectal cancer
title_full Application of artificial intelligence technology in whole course management of colorectal cancer
title_fullStr Application of artificial intelligence technology in whole course management of colorectal cancer
title_full_unstemmed Application of artificial intelligence technology in whole course management of colorectal cancer
title_short Application of artificial intelligence technology in whole course management of colorectal cancer
title_sort application of artificial intelligence technology in whole course management of colorectal cancer
topic whole course management|machine learning|colorectal cancer
url http://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/a200368.pdf
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