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Publication Name World Journal of Gastroenterology
Manuscript ID 110742
Country China
Category Gastroenterology & Hepatology
Manuscript Type Review
Article Title Translational artificial intelligence in gastrointestinal and hepatic disorders: Advancing intelligent clinical decision-making for diagnosis, treatment, and prognosis.
Manuscript Source Invited Manuscript
All Author List Shu-Qi Ren, Jin-Man Chen and Chuang Cai
Funding Agency and Grant Number
Corresponding Author Chuang Cai, Assistant Professor, PhD, Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, No. 2 Sunwen East Road, Zhongshan 528445, Guangdong Province, China. caich6@foxmail.com
Key Words Prognosis; Treatment decision; Diagnosis; Artificial intelligence; Hepatic diseases; Gastrointestinal disorders
Core Tip Artificial intelligence (AI) demonstrates transformative potential across gastrointestinal and hepatic disorders. It enhances early detection of subtle lesions (e.g., Barrett's esophagus) by analyzing diverse clinical data, optimizes treatment decisions (e.g., therapy response in liver cancer) via integrated clinical data assessment (including multimodal integration where applicable), and refines prognostic prediction (e.g., recurrence risk in liver cancer). This translational AI enables intelligent clinical decision-making for diagnosis, personalized treatment, and prognosis assessment throughout the patient journey.
Citation Ren SQ, Chen JM, Cai C. Translational artificial intelligence in gastrointestinal and hepatic disorders: Advancing intelligent clinical decision-making for diagnosis, treatment, and prognosis. World J Gastroenterol 2025; In press
Received
2025-06-16 01:55
Peer-Review Started
2025-06-16 01:55
To Make the First Decision
Return for Revision
2025-06-23 07:58
Revised
2025-07-04 05:09
Second Decision
2025-08-22 02:36
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-08-22 06:55
Articles in Press
2025-08-22 06:55
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
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/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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