CC BY-NC-ND 4.0 · Endosc Int Open 2021; 09(04): E627-E628
DOI: 10.1055/a-1373-4799
Editorial

AI everywhere in endoscopy, not only for detection and characterization

Cesare Hassan
1  Gastroenterology Unit, Nuovo Regina Margherita Hospital, Rome, Italy
,
Yuichi Mori
2  Department of Translational and Precision Medicine, “Sapienza” University of Rome, Italy
4  Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
,
Giulio Antonelli
3  Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
4  Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
› Author Affiliations

Time is life! While saving many patients from cancer-related mortality, gastrointestinal endoscopy still pays an unacceptable price in terms of missed diagnosis and post-endoscopy cancer [1] [2] [3] [4]. Isn’t it true that nearly 80 % of early Barrett’s-related neoplasia are missed by community endoscopists [5]? Similar estimates are likely for early gastric cancer missed in non-expert centers. Time is also money! How much are we wasting in the duplication between endoscopic prediction and post-endoscopic confirmation? Suboptimal competence in differentiating between adenomatous and hyperplastic polyps or predicting precancerous gastric lesions leads to burdensome costs for pathology.



Publication History

Publication Date:
14 April 2021 (online)

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany