Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence.
- Author:
Han LV
1
;
Mengyi LI
2
;
Zhenchang WANG
1
;
Dawei YANG
1
;
Hui XU
1
;
Juan LI
1
;
Yang LIU
2
;
Di CAO
1
;
Yawen LIU
3
;
Xinru WU
1
;
He JIN
1
;
Peng ZHANG
2
;
Liqin ZHAO
4
;
Rixing BAI
5
;
Yunlong YUE
6
;
Bin LI
6
;
Nengwei ZHANG
7
;
Mingzhu ZOU
8
;
Jinghai SONG
9
;
Weibin YU
10
;
Pin ZHANG
11
;
Weijun TANG
12
;
Qiyuan YAO
13
;
Liheng LIU
14
;
Hui YANG
15
;
Zhenghan YANG
1
;
Zhongtao ZHANG
2
Author Information
- Collective Name: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
- Publication Type:Journal Article
- MeSH: Abdomen/diagnostic imaging*; Artificial Intelligence; Body Composition; Magnetic Resonance Imaging; Practice Guidelines as Topic
- From: Chinese Medical Journal 2022;135(6):631-633
- CountryChina
- Language:English