Artificial Intelligence in Decision-Making for Colorectal Cancer Treatment Strategy: An Observational Study of Implementing Watson for Oncology in a 250-Case Cohort

Artificial Intelligence in Decision-Making for Colorectal Cancer Treatment Strategy: An Observational Study of Implementing Watson for Oncology in a 250-Case Cohort

BackgroundPersonalized and novel evidence-based clinical treatment strategy consulting for colorectal cancer has been available through various artificial intelligence (AI) supporting systems such as Watson for Oncology (WFO) from IBM. However, the potential effects of this supporting tool in cancer...

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Bibliographic Details
Main Authors: Batuer Aikemu, Pei Xue, Hiju Hong, Hongtao Jia, Chenxing Wang, Shuchun Li, Ling Huang, Xiaoyi Ding, Huan Zhang, Gang Cai, Aiguo Lu, Li Xie, Hao Li, Minhua Zheng, Jing Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
Watson for Oncology
artificial intelligence
colorectal cancer
multidisciplinary team
concordance analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.594182/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.594182/full

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