Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review.
Colorectal cancer is the third most prevalent cancer worldwide, and its treatment has been a demanding clinical problem. Beyond traditional surgical therapy and chemotherapy, newly revealed molecular mechanisms diversify therapeutic approaches for colorectal cancer. However, the selection of persona...
| Publicado en: | Clinical Medicine Insights: Oncology pp. 1 - 18 |
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| Autores principales: | , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
1/5/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174631167&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174631167 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11795549 B3KT jtl: Clinical Medicine Insights: Oncology issn: 11795549 maglogo: Y pubinfo: dt: 1/5/2024 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 174631167 174631167 174631167 10.1177/11795549231220320 174631167 ppf: 1 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review. aug: au: Yang, Jiaqing Huang, Jing Han, Deqian Ma, Xuelei affil: Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China sug: subj: Colorectal Neoplasms Therapy Artificial Intelligence Utilization Literature Searching Machine Learning Deep Learning Cancer Patients Colorectal Neoplasms Drug Therapy Colorectal Neoplasms Surgery Colorectal Neoplasms Prognosis Immunotherapy ab: Colorectal cancer is the third most prevalent cancer worldwide, and its treatment has been a demanding clinical problem. Beyond traditional surgical therapy and chemotherapy, newly revealed molecular mechanisms diversify therapeutic approaches for colorectal cancer. However, the selection of personalized treatment among multiple treatment options has become another challenge in the era of precision medicine. Artificial intelligence has recently been increasingly investigated in the treatment of colorectal cancer. This narrative review mainly discusses the applications of artificial intelligence in the treatment of colorectal cancer patients. A comprehensive literature search was conducted in MEDLINE, EMBASE, and Web of Science to identify relevant papers, resulting in 49 articles being included. The results showed that, based on different categories of data, artificial intelligence can predict treatment outcomes and essential guidance information of traditional and novel therapies, thus enabling individualized treatment strategy selection for colorectal cancer patients. Some frequently implemented machine learning algorithms and deep learning frameworks have also been employed for long-term prognosis prediction in patients with colorectal cancer. Overall, artificial intelligence shows encouraging results in treatment strategy selection and prognosis evaluation for colorectal cancer patients. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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