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Editorial

. 2019 Apr;89(4):816-817.

doi: 10.1016/j.gie.2018.12.019.

Artificial intelligence for early gastric cancer: early promise and the path ahead

Yuichi Mori¹, Tyler M Berzin², Shin-Ei Kudo¹

Affiliations

Affiliations

¹ Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
² Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.

PMID: 30902205
DOI: 10.1016/j.gie.2018.12.019

Editorial

Artificial intelligence for early gastric cancer: early promise and the path ahead

Yuichi Mori et al. Gastrointest Endosc. 2019 Apr.

. 2019 Apr;89(4):816-817.

doi: 10.1016/j.gie.2018.12.019.

Authors

Yuichi Mori¹, Tyler M Berzin², Shin-Ei Kudo¹

Affiliations

¹ Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
² Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.

PMID: 30902205
DOI: 10.1016/j.gie.2018.12.019

No abstract available

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Comment on

Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.
Zhu Y, Wang QC, Xu MD, Zhang Z, Cheng J, Zhong YS, Zhang YQ, Chen WF, Yao LQ, Zhou PH, Li QL. Zhu Y, et al. Gastrointest Endosc. 2019 Apr;89(4):806-815.e1. doi: 10.1016/j.gie.2018.11.011. Epub 2018 Nov 16. Gastrointest Endosc. 2019. PMID: 30452913

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