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Articles in Press
11/4/2026 10:50:53 AM | Browse: 20 | Download: 4
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Meta-Analysis |
| Article Title |
Artificial intelligence-assisted upper gastrointestinal endoscopy for neoplasm detection: Systematic review and meta-analysis of randomized controlled trials
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Sang-ji Choi and Gibong Chae |
| Funding Agency and Grant Number |
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| Corresponding Author |
Sang-ji Choi, MD, PhD, Department of Surgery, Kangwon National University Hospital, 156, Baengnyeong-ro, Chuncheon-si 24289, Kangwon-do, South Korea. goodpaper@kangwon.ac.kr |
| Key Words |
Artificial intelligence; Computer-aided detection; Esophagogastroduodenoscopy; Esophageal neoplasms; Stomach neoplasms; Early detection of cancer; Randomized controlled trials; Systematic review; Meta-analysis |
| Core Tip |
Whether real-time artificial intelligence (AI) improves neoplasm detection during upper gastrointestinal endoscopy remains debated following a large, centrally adjudicated gastric trial that found no significant difference. This systematic review and meta-analysis of 14 randomized trials (90828 participants) found that AI increased per-patient neoplasm detection, with similar estimates for the esophagus and stomach, and no evidence that effects varied by system functionality. The esophageal evidence was homogeneous and of moderate certainty, whereas the gastric evidence remained heterogeneous and of low certainty. AI is a promising adjunct whose clinical benefit requires confirmation. |
| Citation |
Choi SJ, Chae G. Artificial intelligence-assisted upper gastrointestinal endoscopy for neoplasm detection: Systematic review and meta-analysis of randomized controlled trials. World J Gastroenterol 2026; In press
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| PDF |
127326-in-press.pdf
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Received |
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2026-08-27 03:11 |
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Peer-Review Started |
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2026-08-27 03:11 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-09-10 07:40 |
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Revised |
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2026-09-21 01:37 |
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Publication Fee Transferred |
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2026-10-10 13:52 |
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Second Decision by Editor |
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2026-11-02 02:18 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-11-04 10:50 |
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Articles in Press |
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2026-11-04 10:50 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.