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Artificial intelligence-assisted esophageal cancer management: Now and future

Esophageal cancer poses diagnostic, therapeutic and economic burdens in high-risk regions. Artificial intelligence (AI) has been developed for diagnosis and outcome prediction using various features, including clinicopathologic, radiologic, and genetic variables, which can achieve inspiring results....

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Bibliografische gegevens
Gepubliceerd in:World J Gastroenterol
Hoofdauteurs: Zhang, Yu-Hang, Guo, Lin-Jie, Yuan, Xiang-Lei, Hu, Bing
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Baishideng Publishing Group Inc 2020
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7504247/
https://ncbi.nlm.nih.gov/pubmed/32994686
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3748/wjg.v26.i35.5256
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