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
Affiliations
- 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
No abstracts available.