Artificial intelligence: Thinking outside the box

Gian Eugenio Tontini; Helmut Neumann

doi:10.1016/j.bpg.2020.101720

Artificial intelligence: Thinking outside the box

Best Pract Res Clin Gastroenterol. 2021 Jun-Aug:52-53:101720. doi: 10.1016/j.bpg.2020.101720. Epub 2020 Dec 5.

Authors

Gian Eugenio Tontini¹, Helmut Neumann²

Affiliations

¹ Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
² Department of Interdisciplinary Endoscopy, University Hospital Mainz, Mainz, Germany. Electronic address: Helmut.Neumann@unimedizin-mainz.de.

PMID: 34172247
DOI: 10.1016/j.bpg.2020.101720

Abstract

Artificial intelligence (AI) for luminal gastrointestinal endoscopy is rapidly evolving. To date, most applications have focused on colon polyp detection and characterization. However, the potential of AI to revolutionize our current practice in endoscopy is much more broadly positioned. In this review article, the Authors provide new ideas on how AI might help endoscopists in the future to rediscover endoscopy practice.

Keywords: AI; Advanced imaging; Artificial intelligence; Learning.

Publication types

Review

MeSH terms

Artificial Intelligence / standards*
Colonic Polyps / pathology*
Endoscopy, Gastrointestinal / methods*
Humans
Learning