| ISSN |
2689-7164 (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) 2024. 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 |
Oncology |
| Manuscript Type |
Review |
| Article Title |
Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Ayrton Bangolo, Nikita Wadhwani, Vignesh K Nagesh, Shraboni Dey, Hadrian Hoang-Vu Tran, Izage Kianifar Aguilar, Auda Auda, Aman Sidiqui, Aiswarya Menon, Deborah Daoud, James Liu, Sai Priyanka Pulipaka, Blessy George, Flor Furman, Nareeman Khan, Adewale Plumptre, Imranjot Sekhon, Abraham Lo and Simcha Weissman |
| Funding Agency and Grant Number |
|
| Corresponding Author |
Ayrton Bangolo, MBBS, MD, Doctor, Doctor, Department of Internal Medicine , Palisades Medical Center , 7600 River Road , North Bergen , NJ 07047, United States. ayrtonbangolo0@gmail.com |
| Key Words |
Artificial intelligence; Gastrointestinal malignancies; Machine learning; Helicobacter pylori; State-of-the-art deep learning models |
| Core Tip |
Application of artificial intelligence in the realm of gastrointestinal malignancies has burgeoned over the past decade as its incorporation has streamlined the work-up of gastrointestinal malignancies to address the alarming mortality statistics, largely resulting from delayed interception. The latter juxtaposed with the abundant array of contemporary diagnostic, predictive, and prognostic tools, is a testament to their underperforming status and calls for the development of digital tools that can optimize the oncologic work-up and pave the way for personalized therapies. |
| Publish Date |
2024-05-11 01:00 |
| Citation |
<p>Bangolo A, Wadhwani N, Nagesh VK, Dey S, Tran HHV, Aguilar IK, Auda A, Sidiqui A, Menon A, Daoud D, Liu J, Pulipaka SP, George B, Furman F, Khan N, Plumptre A, Sekhon I, Lo A, Weissman S. Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies. <i>Artif Intell Gastrointest Endosc</i> 2024; 5(2): 90704</p> |
| URL |
https://www.wjgnet.com/2689-7164/full/v5/i2/90704.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v5.i2.90704 |
