Artificial intelligence in gastrointestinal endoscopy: Focus on analytical depth and endoscopist training

doi:10.37126/aige.v6.i4.115140

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Dec 8, 2025 (publication date) through Dec 15, 2025

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Letter to the Editor

Artif Intell Gastrointest Endosc. Dec 8, 2025; 6(4): 115140
Published online Dec 8, 2025. doi: 10.37126/aige.v6.i4.115140

Artificial intelligence in gastrointestinal endoscopy: Focus on analytical depth and endoscopist training

Cristina Rebeca Fogas, Valerio Balassone

Cristina Rebeca Fogas, Valerio Balassone, Digestive Endoscopic Surgery, Gastroenterology and Nutrition, Bambino Gesù Children’s Hospital, IRCCS, Rome 00165, Lazio, Italy

Author contributions: Fogas CR wrote the original draft and provided important intellectual contributions; Balassone V participated in a comprehensive revision of the draft and refined the final draft. All authors have read and approved the final manuscript.

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

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/

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

Received: October 15, 2025
Revised: November 16, 2025
Accepted: November 27, 2025
Published online: December 8, 2025
Processing time: 56 Days and 1.2 Hours

Core Tip

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.