BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
8/7/2026 9:40:28 AM | Browse: 0 | Download: 0
Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 116357
Country China
Received
2025-11-10 04:44
Peer-Review Started
2025-11-10 05:44
First Decision by Editorial Office Director
2025-11-18 05:40
Return for Revision
2025-11-18 05:40
Revised
2025-11-29 16:42
Publication Fee Transferred
Second Decision by Editor
2026-01-05 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-06 01:02
Articles in Press
2026-01-06 01:02
Edit the Manuscript by Language Editor
2026-01-08 10:24
Typeset the Manuscript
2026-07-08 07:19
Publish the Manuscript Online
2026-08-07 09:40
ISSN 1948-5204 (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) 2026. 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 Gerontology
Manuscript Type Editorial
Article Title Application of artificial intelligence in primary gastrointestinal lymphoma: Opportunities, potential and future directions
Manuscript Source Invited Manuscript
All Author List Zong-Xian Zhao
ORCID
Author(s) ORCID Number
Zong-Xian Zhao http://orcid.org/0000-0001-7553-2085
Funding Agency and Grant Number
Corresponding Author Zong-Xian Zhao, MD, Department of Anorectal Surgery, Fuyang People’s Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang 236000, Anhui Province, China. 461901580@qq.com
Key Words Primary gastrointestinal lymphoma; Artificial intelligence; Multimodal diagnostics; Clinical characteristics; Treatment
Core Tip As pointed out by Yang et al, primary gastrointestinal lymphoma (PGIL) remains challenging in diagnosis and treatment, with misdiagnosis and suboptimal therapies persisting. Artificial intelligence (AI) shows great potential in optimizing PGIL’s diagnosis (radiomics, endoscopy, pathology) and treatment (subtype identification, regimen selection, complication prediction). However, AI faces hurdles like scarce standardized datasets, poor interpretability, data security risks. With sustained research, cross-disciplinary collaboration, and standardized efforts, AI is expected to become a standard clinical tool to improve PGIL patient outcomes.
Publish Date 2026-08-07 09:40
Citation

Zhao ZX. Application of artificial intelligence in primary gastrointestinal lymphoma: Opportunities, potential and future directions. World J Gastrointest Oncol 2026; 18(8): 116357

URL https://www.wjgnet.com/1948-5204/full/v18/i8/116357.htm
DOI https://doi.org/10.4251/wjgo.116357
Full Article (PDF) WJGO-18-116357-with-cover.pdf
Manuscript File 116357_Auto_Edited_032652.docx
Answering Reviewers 116357-answering-reviewers.pdf
Audio Core Tip 116357-audio.m4a
Conflict-of-Interest Disclosure Form 116357-conflict-of-interest-statement.pdf
Copyright License Agreement 116357-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 116357-non-native-speakers.pdf
Peer-review Report 116357-peer-reviews.pdf
Scientific Misconduct Check 116357-scientific-misconduct-check.png
Scientific Editor Work List 116357-scientific-editor-work-list.pdf
CrossCheck Report 116357-crosscheck-report.pdf