Defining the next steps for artificial intelligence in colonoscopy

Nicholas G. Burgess

doi:10.1055/a-1384-0485

Endoscopy, Table of Contents

Endoscopy 2021; 53(09): 902-904
DOI: 10.1055/a-1384-0485

Editorial

Defining the next steps for artificial intelligence in colonoscopy

Referring to Ahmad OF et al. p. 893–901

Nicholas G. Burgess

¹Department of Gastroenterology and Hepatology, Westmead Hospital, Sydney, Australia

²Westmead Clinical School, University of Sydney, Sydney, Australia

› Author Affiliations

Abstract

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References

References
1 Chahal D, Byrne MF. A primer on artificial intelligence and its application to endoscopy. Gastrointest Endosc 2020; 92: 813-820
2 Kaminski MF, Wieszczy P, Rupinski M. et al. Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death. Gastroenterology 2017; 153: 98-105
3 Ahmad OF, Mori Y, Misawa M. et al. Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method. Endoscopy 2021; 53: 893-901
4 Hassan C, Spadaccini M, Iannone A. et al. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc 2020; 93: 77-85
5 Hassan C, Bhandari P, Antonelli G. et al. Artificial intelligence for non-polypoid colorectal neoplasms. Dig Endosc 2020;
6 Penz D, Ferlitsch A, Waldmann E. et al. Impact of adenoma detection rate on detection of advanced adenomas and endoscopic adverse events in a study of over 200,000 screening colonoscopies. Gastrointest Endosc 2020; 91: 135-141
7 Liu X, Cruz Rivera S, Moher D. et al. CONSORT-AI extension. Nat Med 2020; 26: 1364-1374
8 Cruz Rivera S, Liu X, Chan AW. et al. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. Nat Med 2020; 26: 1351-1363
9 Walradt T, Glissen Brown JR, Alagappan M. et al. Regulatory considerations for artificial intelligence technologies in GI endoscopy. Gastrointest Endosc 2020; 92: 801-806
10 United States Food and Drug Administration. Digital Health Software Precertification (Pre-Cert) Program. Accessed: 11 January 2021 https://www.fda.gov/medical-devices/digital-health-center-excellence/digital-health-software-precertification-pre-cert-program