Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 28, 2020; 26(44): 6923-6928
Published online Nov 28, 2020. doi: 10.3748/wjg.v26.i44.6923
Emerging use of artificial intelligence in inflammatory bowel disease
Arushi Kohli, Erik A Holzwanger, Alexander N Levy
Arushi Kohli, Department of Internal Medicine, Tufts Medical Center, Boston, MA 02111, United States
Erik A Holzwanger, Alexander N Levy, Division of Gastroenterology and Hepatology, Tufts Medical Center, Boston, MA 02111, United States
Author contributions: Kohli A performed the majority of the writing, prepared the figures and tables; Holzwanger EA performed editing and proofreading; Levy AN provided the input in writing the paper and designed the outline.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
Corresponding author: Alexander N Levy, MD, Assistant Professor, Attending Doctor, Division of Gastroenterology and Hepatology, Tufts Medical Center, 800 Washington Street, Box 233, Boston, MA 02111, United States.
Received: August 31, 2020
Peer-review started: August 31, 2020
First decision: September 24, 2020
Revised: October 24, 2020
Accepted: November 13, 2020
Article in press: November 13, 2020
Published online: November 28, 2020
Core Tip

Core Tip: Artificial intelligence (AI) is a novel technological advancement that is rapidly growing in the field of inflammatory bowel disease. The use of AI and machine learning has been shown to aid in diagnosing and understanding severity of disease, predicting treatment response along with likelihood of disease recurrence and assisting with colorectal neoplasia screening in this patient population. Further studies are needed to understand the full impact AI may have on improving Crohn’s disease and ulcerative colitis patient outcomes.