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

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
› Institutsangaben

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.


Artikel online veröffentlicht:
14. April 2021

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