Endoscopy 2021; 53(12): 1287
DOI: 10.1055/a-1561-6046


Yuichi Mori
1  Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
2  Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
3  Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
› Author Affiliations

The recent explosion of artificial intelligence (AI) technologies gives us cause for optimism about the adoption of AI in colonoscopy. The use of AI for polyp detection is reported to increase the adenoma detection rate by roughly 50 % [1]. However, to benefit from AI improvements in polyp detection, the endoscopist must successfully expose the mucosal surface. McGill et al. have tackled this operator-dependent barrier by using an AI-based 3-dimensional reconstruction model to identify blind spots during colonoscopy [2]. This will lead to significant clinical gains, because endoscopists will potentially improve mucosal surface inspection in real time using this technology and, after a colonoscopy, will have feedback about the proportion of the mucosa that was actually exposed. Another author group in China has shown actual clinical benefits from using a similar technology [3]. Revolution in colonoscopy never ceases!

Publication History

Publication Date:
24 November 2021 (online)

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