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Articles Published Processes
8/6/2026 7:34:31 AM | Browse: 1 | Download: 0
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Received |
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2026-01-04 02:26 |
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Peer-Review Started |
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2026-01-04 02:27 |
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First Decision by Editorial Office Director |
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2026-01-28 08:37 |
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Return for Revision |
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2026-01-28 08:37 |
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Revised |
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2026-03-03 07:37 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-06-08 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-08 06:02 |
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Articles in Press |
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2026-06-08 06:02 |
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Edit the Manuscript by Language Editor |
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2026-06-22 10:25 |
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Typeset the Manuscript |
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2026-07-16 07:56 |
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Publish the Manuscript Online |
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2026-08-06 07:34 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Leveraging artificial intelligence to differentiate benign from malignant biliary strictures: A step toward precision diagnosis
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ammara Abdul Majeed and Amna Subhan Butt |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2026-08-06 07:34 |
| Citation |
Majeed AA, Butt AS. Leveraging artificial intelligence to differentiate benign from malignant biliary strictures: A step toward precision diagnosis. Artif Intell Gastroenterol 2026; 7(2): 118476
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| URL |
https://www.wjgnet.com/2644-3236/full/v7/i2/118476.htm |
| DOI |
https://doi.org/10.35712/aig.118476 |
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