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Review
. 2020 Jul;30(3):585-595.
doi: 10.1016/j.giec.2020.02.010. Epub 2020 Apr 11.

How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening

Dennis L Shung  1 , Michael F Byrne  2
Affiliations
Review

How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening

Dennis L Shung et al. Gastrointest Endosc Clin N Am. 2020 Jul.

Abstract

Artificial intelligence may improve value in colonoscopy-based colorectal screening and surveillance by improving quality and decreasing unnecessary costs. The quality of screening and surveillance as measured by adenoma detection rates can be improved through real-time computer-assisted detection of polyps. Unnecessary costs can be decreased with optical biopsies to identify low-risk polyps using computer-assisted diagnosis that can undergo the resect-and-discard or diagnose-and-leave strategy. Key challenges include the clinical integration of artificial intelligence-based technology into the endoscopists' workflow, the effect of this technology on endoscopy center efficiency, and the interpretability of the underlying deep learning algorithms. The future for image-based artificial intelligence in gastroenterology will include applications to improve the diagnosis and treatment of cancers throughout the gastrointestinal tract.

Keywords: Artificial intelligence; Colonoscopy; Value-based care.

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Conflict of interest statement

Disclosure D.L. Shung: Grant Support through the National Institutes of Health T32 DK007017; M.F. Byrne: CEO and shareholder, Satisfai Health; founder of AI4GI joint venture. Co-development agreement between Olympus America and AI4GI in artificial intelligence and colorectal polyps.

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