Deep Learning‐Based Prediction of High‐Risk Gastroesophageal Varices Using Two‐Dimensional Shear Wave Elastography

ABSTRACT Aims Bleeding from gastroesophageal varices (GEV) is a medical emergency associated with high mortality. We aim to construct an artificial intelligence‐based model of two‐dimensional shear wave elastography (2D‐SWE) of the liver and spleen to precisely assess the risk of GEV and high‐risk G...

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Detalles Bibliográficos

Principais autores:	Lan Wang, Ruiling He, Lili Zhao, Jia Wang, Zhengzi Geng, Tao Ren, Guo Zhang, Peng Zhang, Kaiqiang Tang, Chaofei Gao, Fei Chen, Liting Zhang, Yonghe Zhou, Xin Li, Fanbin He, Hui Huan, Wenjuan Wang, Yunxiao Liang, Juan Tang, Fang Ai, Tingyu Wang, Liyun Zheng, Zhongwei Zhao, Jiansong Ji, Wei Liu, Jiaojiao Xu, Bo Liu, Xuemei Wang, Yao Zhang, Qiong Yan, Muhan Lv, Xiaomei Chen, Shuhua Zhang, Yihua Wang, Yang Liu, Li Yin, Yanni Liu, Yanqing Huang, Yunfang Liu, Kun Wang, Meiqin Su, Li Bian, Ping An, Xin Zhang, Shaoting Zhang, Jinhua Shao, Xiangman Zhang, Wei Rao, Linxue Qian, Shao Li, Xiaolong Qi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Wiley 2025-09-01
Series:	Portal Hypertension & Cirrhosis
Assuntos:	compensated advanced chronic liver disease deep learning gastroesophageal varices high‐risk gastroesophageal varices two‐dimensional shear wave elastography images
Acceso en liña:	https://doi.org/10.1002/poh2.70016
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