Evolving role of artificial intelligence in gastrointestinal endoscopy

doi:10.3748/wjg.v26.i46.7287

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World Journal of Gastroenterology

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World J Gastroenterol. Dec 14, 2020; 26(46): 7287-7298
Published online Dec 14, 2020. doi: 10.3748/wjg.v26.i46.7287

Evolving role of artificial intelligence in gastrointestinal endoscopy

Gulshan Parasher, Morgan Wong, Manmeet Rawat

Gulshan Parasher, Morgan Wong, Manmeet Rawat, Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, United States

Author contributions: Parasher G, Wong M and Rawat M contributed to concept design, literature search, writing and editing the manuscript.

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.

Corresponding author: Manmeet Rawat, PhD, Assistant Professor, Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of New Mexico School of Medicine, MSC10-5550, 1 University of New Mexico, Albuquerque, NM 87131, United States. manmeetrawat@gmail.com

Received: August 1, 2020
Peer-review started: August 1, 2020
First decision: September 30, 2020
Revised: November 2, 2020
Accepted: November 29, 2020
Article in press: November 29, 2020
Published online: December 14, 2020
Processing time: 135 Days and 4.7 Hours

Core Tip

Core Tip: Artificial intelligence (AI) technology seems promising, and the field is full of invention and novel applications in gastrointestinal endoscopy. AI-based endoscopic systems can reliably detect and provide crucial information on gastrointestinal pathology based on their training and validation. These systems will make gastroenterology practice easier, faster, more reliable, and reduce inter-observer variability in the coming years. Gastroenterologists should welcome and embrace AI-assisted technologies in their practice as and when commercially available after thorough vetting in validation studies. A strong collaboration among physicians, computer scientists, and entrepreneurs is also needed to promote AI’s clinical use in medical practice.