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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Detalles Bibliográficos
Autores principales: Zhang, Yu-Hang, Guo, Lin-Jie, Yuan, Xiang-Lei, Hu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Minireviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504247/
https://www.ncbi.nlm.nih.gov/pubmed/32994686
http://dx.doi.org/10.3748/wjg.v26.i35.5256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504247/
https://www.ncbi.nlm.nih.gov/pubmed/32994686
http://dx.doi.org/10.3748/wjg.v26.i35.5256

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