©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastrointest Endosc. Apr 28, 2021; 2(2): 36-49
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.36
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.36
Colonoscopy and artificial intelligence: Bridging the gap or a gap needing to be bridged?
James Weiquan Li, Tiing Leong Ang, Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore 529889, Singapore
Author contributions: Li JW performed the literature search and wrote the manuscript; Ang TL performed the literature search and reviewed the manuscript.
Conflict-of-interest statement: The authors declare no conflict of interests for this article.
Corresponding author: Tiing Leong Ang, FASGE, FRCP, MBBS, Chief Physician, Professor, Department of Gastroenterology and Hepatology, Changi General Hospital, 2 Simei Street 3, Singapore 529889, Singapore. ang.tiing.leong@singhealth.com.sg
Received: March 19, 2021
Peer-review started: March 19, 2021
First decision: March 26, 2021
Revised: March 27, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: April 28, 2021
Processing time: 40 Days and 3.4 Hours
Peer-review started: March 19, 2021
First decision: March 26, 2021
Revised: March 27, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: April 28, 2021
Processing time: 40 Days and 3.4 Hours
Core Tip
Core Tip: The use of artificial intelligence (AI) for colonoscopy has been studied most extensively for polyp detection and characterization. Despite advances made in this field, AI systems studied for these purposes represent only the machine learning domain of AI, and individual machine learning algorithms used in these studies are each focused on performing a very narrow task. While they may bridge existing gaps in polyp detection and real-time optical diagnosis of colorectal polyps, the introduction of AI into colonoscopy will also mean that there are new gaps that must be bridged for AI systems to be routinely used in clinical practice.