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12/8/2025 6:39:51 AM | Browse: 0 | Download: 0
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 115140
Country Italy
Received
2025-10-15 09:00
Peer-Review Started
2025-10-15 09:00
First Decision by Editorial Office Director
2025-11-04 09:35
Return for Revision
2025-11-04 09:35
Revised
2025-11-16 18:33
Publication Fee Transferred
Second Decision by Editor
2025-11-27 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-11-27 08:08
Articles in Press
2025-11-27 08:08
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-12-02 08:35
Publish the Manuscript Online
2025-12-08 06:39
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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Computer Science, Artificial Intelligence
Manuscript Type Letter to the Editor
Article Title Artificial intelligence in gastrointestinal endoscopy: Focus on analytical depth and endoscopist training
Manuscript Source Unsolicited Manuscript
All Author List Cristina Rebeca Fogas and Valerio Balassone
ORCID
Author(s) ORCID Number
Cristina Rebeca Fogas http://orcid.org/0000-0001-7249-9320
Valerio Balassone http://orcid.org/0000-0001-5398-4275
Funding Agency and Grant Number
Corresponding Author Valerio Balassone, MD, PhD, Digestive Endoscopic Surgery, Gastroenterology and Nutrition, Bambino Gesù Children’s Hospital, IRCCS, Piazza Sant’Onofrio 4, Rome 00165, Lazio, Italy. valerio.balassone@opbg.net
Key Words Artificial intelligence; Gastrointestinal endoscopy; Deep learning; Endoscopy training; Skill development; Analytical depth; Data quality
Core Tip This article highlights a recent review of the latest advancements of artificial intelligence (AI) in the field of gastrointestinal endoscopy discussed in the recent minireview by Ding et al. We raise concerns on the analytical depth of the manuscript, namely the lack of detailed analyses on missed tumor rates, machine learning model complexities, and dataset quality. We also discuss the future directions of the potential of AI in endoscopy training to facilitate skill development and enhance overall endoscopist proficiency, an area crucial for the future adoption of AI in clinical settings.
Publish Date 2025-12-08 06:39
Citation

Fogas CR, Balassone V. Artificial intelligence in gastrointestinal endoscopy: Focus on analytical depth and endoscopist training. Artif Intell Gastrointest Endosc 2025; 6(4): 115140

URL https://www.wjgnet.com/2689-7164/full/v6/i4/115140.htm
DOI https://dx.doi.org/10.37126/aige.v6.i4.115140
Full Article (PDF) AIGE-6-115140-with-cover.pdf
Manuscript File 115140_Auto_Edited_084400.docx
Answering Reviewers 115140-answering-reviewers.pdf
Audio Core Tip 115140-audio.mp3
Conflict-of-Interest Disclosure Form 115140-conflict-of-interest-statement.pdf
Copyright License Agreement 115140-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 115140-non-native-speakers.pdf
Peer-review Report 115140-peer-reviews.pdf
Scientific Misconduct Check 115140-scientific-misconduct-check.png
Scientific Editor Work List 115140-scientific-editor-work-list.pdf
CrossCheck Report 115140-crosscheck-report.pdf