Highly accurate artificial intelligence systems to predict the invasion depth of gastric cancer: efficacy of conventional white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging

Diagnosing the invasion depth of gastric cancer (GC) is necessary to determine the optimal method of treatment. Although the efficacy of evaluating macroscopic features and EUS has been reported, there is a need for more accurate and objective methods. The primary aim of this study was to test the efficacy of novel artificial intelligence systems in predicting the invasion depth of GC.

Source: Gastrointestinal Endoscopy - June 23, 2020 Category: Gastroenterology Authors: Sayaka Nagao, Yosuke Tsuji, Yoshiki Sakaguchi, Yu Takahashi, Chihiro Minatsuki, Keiko Niimi, Hiroharu Yamashita, Nobutake Yamamichi, Yasuyuki Seto, Tomohiro Tada, Kazuhiko Koike Source Type: research