Chinese Medical Journal (Mar 2022)

Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence

  • Han Lv,
  • Mengyi Li,
  • Zhenchang Wang,
  • Dawei Yang,
  • Hui Xu,
  • Juan Li,
  • Yang Liu,
  • Di Cao,
  • Yawen Liu,
  • Xinru Wu,
  • He Jin,
  • Peng Zhang,
  • Liqin Zhao,
  • Rixing Bai,
  • Yunlong Yue,
  • Bin Li,
  • Nengwei Zhang,
  • Mingzhu Zou,
  • Jinghai Song,
  • Weibin Yu,
  • Pin Zhang,
  • Weijun Tang,
  • Qiyuan Yao,
  • Liheng Liu,
  • Hui Yang,
  • Zhenghan Yang,
  • Zhongtao Zhang,
  • Yuanyuan Ji,
  • National Clinical Research Center for Digestive Diseases in Beijing Friendship Hospital, Capital Medical University; Beijing Quality Control and Improvement Center of Medical Imaging; National Health Commission Capacity Building and Continuing Education Center, Chinese College of Metabolic and Bariatric Surgeons; Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery

DOI
https://doi.org/10.1097/CM9.0000000000002002
Journal volume & issue
Vol. 135, no. 6
pp. 631 – 633

Abstract

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