Artificial intelligence in colonoscopy: A review on the current status.

Autor: Larsen SLV; Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo Oslo Norway.; Department of Transplantation Medicine, Oslo University Hospital University of Oslo Oslo Norway., Mori Y; Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo Oslo Norway.; Department of Transplantation Medicine, Oslo University Hospital University of Oslo Oslo Norway.; Digestive Disease Center, Showa University Northern Yokohama Hospital Kanagawa Japan.
Jazyk: angličtina
Zdroj: DEN open [DEN Open] 2022 Mar 23; Vol. 2 (1), pp. e109. Date of Electronic Publication: 2022 Mar 23 (Print Publication: 2022).
DOI: 10.1002/deo2.109
Abstrakt: Artificial intelligence has become an increasingly hot topic in the last several years, and it has also gained its way into the medical field. In recent years, the application of artificial intelligence in the gastroenterology field has been of increasing interest, particularly in the colonoscopy setting. Novel technologies such as deep neural networks have enabled real-time computer-aided polyp detection and diagnosis during colonoscopy. This might lead to increased performance of endoscopists as well as potentially reducing the costs of unnecessary polypectomies of hyperplastic polyps. Newly published prospective trials studying computer-aided detection showed that the assistance of artificial intelligence significantly increased the detection of polyps and non-advanced adenomas approximately by 10%, while three tandem randomized control trials proved that the adenoma miss rate was significantly reduced (e.g., 13.8% vs. 36.7% in one Japanese multicenter trial). Promising results have also been shown in prospective single-arm trials on computer-aided polyp diagnosis, but the evidence is insufficient to reach a conclusion.
Competing Interests: Yuichi Mori has received a Consultant fee from Olympus Corp. and Cybernet Corp. Yuichi Mori is Associate Editor of DEN Open.
(© 2022 The Authors. DEN Open published by John Wiley & Sons Australia, Ltd on behalf of Japan Gastroenterological Endoscopy Society.)
Databáze: MEDLINE
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