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Literature DB >> 32455500

How can endoscopists adapt and collaborate with artificial intelligence for early gastric cancer detection?

Seiichiro Abe¹, Ichiro Oda¹.

Abstract

Entities: Disease

Mesh：

Year: 2020 PMID： 32455500 DOI： 10.1111/den.13751

Source DB: PubMed Journal: Dig Endosc ISSN： 0915-5635 Impact factor: 7.559

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Review 1. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer.

Authors: Yu-Jer Hsiao; Yuan-Chih Wen; Wei-Yi Lai; Yi-Ying Lin; Yi-Ping Yang; Yueh Chien; Aliaksandr A Yarmishyn; De-Kuang Hwang; Tai-Chi Lin; Yun-Chia Chang; Ting-Yi Lin; Kao-Jung Chang; Shih-Hwa Chiou; Ying-Chun Jheng
Journal: World J Gastroenterol Date: 2021-06-14 Impact factor: 5.742

1 in total