Artificial intelligence-driven three-dimensional modeling of biliary strictures using magnetic resonance cholangiopancreatography for quantitative assessment and stent planning

doi:10.3748/wjg.125661

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World Journal of Gastroenterology

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1007-9327

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

Observational Study

Copyright: ©Author(s) 2027. 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 Gastroenterol. Jan 14, 2027; 33(2): 125661
Published online Jan 14, 2027. doi: 10.3748/wjg.125661

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Figure 2 Three-dimensional stricture localization. Manual annotation (left, blue) and MedYOLO prediction (right, dark blue) show that the predicted box covered the target ductal region but was broader than the manual label. Anatomical orientation is indicated, and a 10-cm scale bar is shown in each panel. A: Anterior; P: Posterior; L: Left; S: Superior; I: Inferior.

Citation: Chun JH, Hong JW, Hou JU, Lee KJ, Park DH, Cha HW, Park SW, Min SJ, Yu W. Artificial intelligence-driven three-dimensional modeling of biliary strictures using magnetic resonance cholangiopancreatography for quantitative assessment and stent planning. World J Gastroenterol 2027; 33(2): 125661
URL: https://www.wjgnet.com/1007-9327/full/v33/i2/125661.htm
DOI: https://dx.doi.org/10.3748/wjg.125661

Chun JH, Hong JW, Hou JU, Lee KJ, Park DH, Cha HW, Park SW, Min SJ, Yu W. Artificial intelligence-driven three-dimensional modeling of biliary strictures using magnetic resonance cholangiopancreatography for quantitative assessment and stent planning. World J Gastroenterol 2027; 33(2): 125661 [DOI: 10.3748/wjg.125661]

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