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AI everywhere in endoscopy, not only for detection and characterization
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    . Isn’t it true that nearly 80 % of early Barrett’s-related neoplasia are missed by community endoscopists ? 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.
Article published online:
14 April 2021
© 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/)
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