©The Author(s) 2025.
World J Gastroenterol. Nov 7, 2025; 31(41): 111361
Published online Nov 7, 2025. doi: 10.3748/wjg.v31.i41.111361
Published online Nov 7, 2025. doi: 10.3748/wjg.v31.i41.111361
Figure 1 Flowchart of study population.
AVB: Acute variceal bleeding; AI: Artificial intelligence; EIS: Endoscopic injection sclerotherapy; EVL: Endoscopic variceal ligation; TIPS: Transjugular intrahepatic portosystemic shunt; p-TIPS: Preemptive transjugular intrahepatic portosystemic shunt; PT: Pharmacotherapy.
- Citation: Xiang Y, Yang N, Zheng TL, Huang YF, Liu TY, Ma DQ, Hu SJ, Zhang WH, Xiang HL, Zhang LY, Yuan LL, Wang X, Dang T, Zhang G, Wu B, Peng LJ, Gao M, Xia DL, Liu ZB, Li J, Song Y, Zhou XQ, Qi XS, Zeng J, Tan XY, Deng MM, Fang HM, Qi SL, He S, He YF, Ye B, Wu W, Shao JB, Wei W, Hu JP, Yong X, He CH, Bao JL, Zhang YN, Ji R, Bo Y, Yan W, Li HJ, Li SL, Geng S, Zhao L, Liu B, Qi XL. Development of a deep learning model for guiding treatment decisions of acute variceal bleeding in patients with cirrhosis. World J Gastroenterol 2025; 31(41): 111361
- URL: https://www.wjgnet.com/1007-9327/full/v31/i41/111361.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i41.111361