Targeting the low detector with artificial intelligence

Endoscopy 2022; 54(10): 1015-1016
DOI: 10.1055/a-1819-6568

Editorial

Referring to Troya J et al. p. 1009–1014

Authors

Cesare Hassan

¹IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy

²Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
Alessandro Repici

¹IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy

²Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy

References
1 Liu W, Wu Y, Yuan X. et al. Artificial intelligence-based assessments of colonoscopic withdrawal technique: a new method for measuring and enhancing the quality of fold examination. Endoscopy 2022; 54: 972-979
2 Troya J, Fitting D, Brand M. et al. The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze. Endoscopy 2022; 54: 1009-1014
3 Vilmann AS, Søndergaard Svendsen MB, Lachenmeier C. et al. Colonoscope retraction technique and predicting adenoma detection rate: a multicenter study. Gastrointest Endosc 2022; 95: 1002-1010