Artificial intelligence in endoscopic ultrasound-guided biliary drainage: Emerging applications, technical challenges, and future directions

doi:10.5528/wjtm.123702

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World Journal of Translational Medicine

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2220-6132

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Transl Med. Jul 28, 2026; 12(2): 123702
Published online Jul 28, 2026. doi: 10.5528/wjtm.123702

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Figure 1 Proposed workflow for artificial intelligence-assisted endoscopic ultrasound-guided biliary drainage, showing potential roles across patient selection, imaging review, route selection, real-time image interpretation, needle trajectory and stent deployment support, adverse-event prediction, and follow-up planning. AI: Artificial intelligence; EUS: Endoscopic ultrasound; EUS-BD: Endoscopic ultrasound-guided biliary drainage; CT: Computed tomography; MRI-MRCP: Magnetic resonance imaging-magnetic resonance cholangiopancreatography; CDS: Choledochoduodenostomy HGS: Hepaticogastrostomy.

Citation: Salman A, Elewa A, Marwan A, Salman MA. Artificial intelligence in endoscopic ultrasound-guided biliary drainage: Emerging applications, technical challenges, and future directions. World J Transl Med 2026; 12(2): 123702
URL: https://www.wjgnet.com/2220-6132/full/v12/i2/123702.htm
DOI: https://dx.doi.org/10.5528/wjtm.123702

Salman A, Elewa A, Marwan A, Salman MA. Artificial intelligence in endoscopic ultrasound-guided biliary drainage: Emerging applications, technical challenges, and future directions. World J Transl Med 2026; 12(2): 123702 [DOI: 10.5528/wjtm.123702]

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