Publication Name	World Journal of Gastroenterology
Manuscript ID	104370
Country	China

Received	2024-12-24 03:27
Peer-Review Started	2024-12-24 03:27
To Make the First Decision
Return for Revision	2025-02-13 23:40
Revised	2025-02-24 13:56
Second Decision	2025-03-10 02:36
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-03-10 05:51
Articles in Press	2025-03-10 05:51
Publication Fee Transferred	2025-02-25 13:07
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-03-24 06:58
Publish the Manuscript Online	2025-04-02 10:54

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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Prospective Study
Article Title	Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm
Manuscript Source	Unsolicited Manuscript
All Author List	Tian Ma, Guan-Qun Liu, Jing Guo, Rui Ji, Xue-Jun Shao, Yan-Qing Li, Zhen Li and Xiu-Li Zuo
ORCID	Author(s) ORCID Number Yan-Qing Li http://orcid.org/0000-0003-0575-0399 Zhen Li http://orcid.org/0000-0002-9783-169x Xiu-Li Zuo http://orcid.org/0000-0002-2942-1744
Funding Agency and Grant Number	Funding Agency Grant Number National Key Research and Development Program of China No. 2023YFC2413800 Taishan Scholars Program of Shandong Province No. tsqn202306344 National Natural Science Foundation of China No. 82270580 National Natural Science Foundation of China No. 82070552
Corresponding Author	Xiu-Li Zuo, MD, Department of Gastroenterology, Qilu Hospital of Shandong University, No. 107 Wenhuaxi Road, Jinan 250012, Shandong Province, China. zuoxiuli@sdu.edu.cn
Key Words	Esophageal squamous neoplasm; Probe-based confocal laser endomicroscopy; Optical biopsy; Artificial intelligence; Computer aided diagnosis
Core Tip	The optical diagnosis of esophageal squamous neoplasms (ESN) is challenging. Probe-based confocal laser endomicroscopy (pCLE) enables the optical biopsy of ESN; however, its application is affected by the difficulty of image interpretation. This study developed the first pCLE computer-aided diagnostic system (intelligent confocal laser endomicroscopy) for ESN, enabling real-time diagnosis of pCLE videos. Intelligent confocal laser endomicroscopy was evaluated in a prospective study and compared with endoscopists with different expertise levels. It demonstrated higher sensitivity than both nonexpert and expert endoscopists. Additionally, it assists nonexperts in significantly improving diagnostic accuracy and sensitivity. This system has the potential to assist endoscopists in the application of pCLE and reduce unnecessary biopsies.
Publish Date	2025-04-02 10:54
Citation	<p>Ma T, Liu GQ, Guo J, Ji R, Shao XJ, Li YQ, Li Z, Zuo XL. Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm. <i>World J Gastroenterol</i> 2025; 31(13): 104370</p>
URL	https://www.wjgnet.com/1007-9327/full/v31/i13/104370.htm
DOI	https://dx.doi.org/10.3748/wjg.v31.i13.104370

Full Article (PDF)	WJG-31-104370-with-cover.pdf
CONSORT 2010 Statement	104370-CONSORT-2010-statement.pdf
Manuscript File	104370_Auto_Edited_010155.docx
Answering Reviewers	104370-answering-reviewers.pdf
Audio Core Tip	104370-audio.m4a
Biostatistics Review Certificate	104370-biostatistics-statement.pdf
Clinical Trial Registration Statement	104370-clinical-trial-registration-statement.pdf
Conflict-of-Interest Disclosure Form	104370-conflict-of-interest-statement.pdf
Copyright License Agreement	104370-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	104370-foundation-statement.pdf
Signed Informed Consent Form(s) or Document(s)	104370-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	104370-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	104370-non-native-speakers.pdf
Video	104370-video.mp4
Supplementary Material	104370-supplementary-material.pdf
Peer-review Report	104370-peer-reviews.pdf
Scientific Misconduct Check	104370-scientific-misconduct-check.png
Scientific Editor Work List	104370-scientific-editor-work-list.pdf
CrossCheck Report	104370-crosscheck-report.png
CrossCheck Report	104370-crosscheck-report.pdf