Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	123751
DOI	10.35712/aig.123751
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Systematic Reviews
Article Title	Artificial intelligence and machine learning applications in abdominal tuberculosis diagnosis: A scoping review and translational roadmap
Manuscript Source	Invited Manuscript
All Author List	Kumar Kaushik, Jyoti Pathania, Pritish Kumar Singh, Monika Dinkar and Vanya Pathania
Funding Agency and Grant Number
Corresponding Author	Jyoti Pathania, Full Professor, Head, MD, Department of Anesthesia, Rohilkhand Medical College and Hospital, Pilbhit Bypass Road, Bareilly 243006, Uttar Pradesh, India. pathaniajyoti7@gmail.com
Key Words	Abdominal tuberculosis; Artificial intelligence; Machine learning; Radiomics; Deep learning; Scoping review; Translational roadmap; Crohn disease
Core Tip	This is the first dedicated Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews-compliant scoping review of artificial intelligence and machine learning for abdominal tuberculosis diagnosis and differential diagnosis. It demonstrates high accuracy of radiomics, endoscopic convolutional neural networks, and multimodal models in differentiating abdominal tuberculosis from Crohn’s disease and other mimics, yet reveals a complete absence of management-focused artificial intelligence applications, and predominance of composite reference standards. The proposed four-phase roadmap provides a practical, equity-centered pathway from retrospective evidence to real-world deployment, prioritizing microbiological reference standards, bias audits, infrastructure-appropriate tools, and explicit integration with existing hierarchical diagnostic criteria to reduce diagnostic delays and unnecessary interventions in high-burden settings.
Citation	Kaushik K, Pathania J, Singh PK, Dinkar M, Pathania V. Artificial intelligence and machine learning applications in abdominal tuberculosis diagnosis: A scoping review and translational roadmap. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.123751
PDF	123751-in-press.pdf

Received	2026-05-28 07:12
Peer-Review Started	2026-05-28 07:15
First Decision by Editorial Office Director	2026-06-10 02:54
Return for Revision	2026-06-10 02:54
Revised	2026-06-12 11:15
Publication Fee Transferred
Second Decision by Editor	2026-06-30 02:41
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-30 06:29
Articles in Press	2026-06-30 06:29
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright	© Author(s) (or their employer(s)) 2026. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
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