Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	118476
DOI	10.35712/aig.118476
Country	Pakistan

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Leveraging artificial intelligence to differentiate benign from malignant biliary strictures: A step toward precision diagnosis
Manuscript Source	Invited Manuscript
All Author List	Ammara Abdul Majeed and Amna Subhan Butt
Funding Agency and Grant Number
Corresponding Author	Amna Subhan Butt, Associate Professor, Department of Medicine, Aga Khan University Hospital, Stadium Road, Karachi 74800, Pakistan. amna.subhan@aku.edu
Key Words	Artificial intelligence; Biliary strictures; Cholangioscopy; Endoscopic ultrasound; Radiomics; Precision medicine
Core Tip	The current management of biliary stricture highly dependent on multimodality diagnostic pathways to differentiate benign or malignant nature of disease process. Despite availability of multimodality diagnostic tools, precision in diagnosis remains a high-stake clinical challenge. Various artificial intelligence (AI)-based approaches like deep learning have emerged as potential tools to enhance diagnostic precision. From lesion characterization to assist in obtaining cholangioscopy or endoscopic ultrasound guided targeted biopsies, AI enhances cross-sectional imaging analysis (radiomics) has promising role. However, further evidence is required to overcome the limitations including insufficient outcome-driven validation, biases in study designs, and lack of interpretability. Hence, well designed trials, explainable AI systems, integration into existing diagnostic pathways and validation based on outcomes would help to enhance the accuracy and actual utility of AI in precision diagnosis of biliary strictures.
Citation	Majeed AA, Butt AS. Leveraging artificial intelligence to differentiate benign from malignant biliary strictures: A step toward precision diagnosis. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.118476
PDF	118476-in-press.pdf

Received	2026-01-04 02:26
Peer-Review Started	2026-01-04 02:27
First Decision by Editorial Office Director	2026-01-28 08:37
Return for Revision	2026-01-28 08:37
Revised	2026-03-03 07:37
Publication Fee Transferred
Second Decision by Editor	2026-06-08 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-08 06:02
Articles in Press	2026-06-08 06:02
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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