| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Opinion Review |
| Article Title |
Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Chrysanthos D Christou and Georgios Tsoulfas |
| ORCID |
|
| Funding Agency and Grant Number |
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| Corresponding Author |
Georgios Tsoulfas, FACS, FICS, MD, PhD, Chief Doctor, Professor, Surgeon, Department of Transplantation Surgery, Hippokration General Hospital, School of Medicine, Aristotle University of Thessaloniki, 49 Konstantinoupoleos Street, Thessaloniki 54622, Greece. tsoulfasg@gmail.com |
| Key Words |
Artificial intelligence; Machine learning; Gastroenterology; Cost-effectiveness; Interpretability; Accuracy |
| Core Tip |
Currently, artificial intelligence (AI) and machine learning (ML) have several applications in the prevention, diagnosis, treatment, and prognosis of various gastrointestinal diseases, including gastroesophageal reflux disease, esophageal cancer, gastric cancer, gastrointestinal bleeding, inflammatory bowel diseases, polyps, colorectal cancer, and others. Despite their promising results, AI/ML applications in gastroenterology are hindered by several challenges, including accuracy, cost-effectiveness, cybersecurity, interpretability, oversight, and liability concerns. In this opinion review, we elaborate on these challenges and present different ways to overcome them. |
| Publish Date |
2023-12-27 05:42 |
| Citation |
Christou CD, Tsoulfas G. Challenges involved in the application of artificial intelligence in gastroenterology: The race is on! World J Gastroenterol 2023; 29(48): 6168-6178 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i48/6168.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i48.6168 |
