| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Ultrasound-based artificial intelligence in gastroenterology and hepatology
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Ji-Qiao Liu, Jia-Yu Ren, Xiao-Lan Xu, Li-Yan Xiong, Yue-Xiang Peng, Xiao-Fang Pan, Christoph F Dietrich and Xin-Wu Cui |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China (General Program) |
82071953 |
| Medical Youth Top-notch Talent Project of Hubei Province |
|
|
| Corresponding Author |
Xin-Wu Cui, MD, PhD, Associate Professor, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue No. 1095, Wuhan 430030, Hubei Province, China. cuixinwu@live.cn |
| Key Words |
Artificial intelligence; Ultrasound; Liver; Gastroenterology; Deep learning |
| Core Tip |
Artificial intelligence (AI) based on ultrasound has been confirmed to be helpful in diagnosing diffuse liver diseases and focal liver lesions, such as analyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis, identifying benign and malignant liver lesions, predicting microvascular invasion of hepatocellular carcinoma, curative transarterial chemoembolization effect, and prognoses after thermal ablation. AI based on endoscopic ultrasonography has been applied in some gastrointestinal diseases. We focused on basic technical knowledge about AI and the aforementioned clinical application in the ultrasound of liver and gastroenterology. Additionally, we discuss the challenges and future perspectives of AI. |
| Publish Date |
2022-10-12 04:24 |
| Citation |
Liu JQ, Ren JY, Xu XL, Xiong LY, Peng YX, Pan XF, Dietrich CF, Cui XW. Ultrasound-based artificial intelligence in gastroenterology and hepatology. World J Gastroenterol 2022; 28(38): 5530-5546 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i38/5530.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i38.5530 |
