Shear wave elastography-based deep learning model for prognosis of patients with acutely decompensated cirrhosis.

Journal: Journal of clinical ultrasound : JCU
PMID: 37883118

Abstract

PURPOSE: This study aimed to develop and validate a deep learning model based on two-dimensional (2D) shear wave elastography (SWE) for predicting prognosis in patients with acutely decompensated cirrhosis.

Authors

  • Xingzhi Huang
    Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Yaohui Li
    Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Songsong Yuan
    Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Xiaoping Wu
  • Pan Xu
    Institute of Analytical Science, Shaanxi Provincial Key Laboratory of Electroanalytical Chemistry, Northwest University, Xi'an, Shaanxi 710069, China.
  • Aiyun Zhou
    Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China.

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