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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	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
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2025-09-01
Serie:	Portal Hypertension & Cirrhosis
Soggetti:	compensated advanced chronic liver disease deep learning gastroesophageal varices high‐risk gastroesophageal varices two‐dimensional shear wave elastography images
Accesso online:	https://doi.org/10.1002/poh2.70016
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!