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World J Gastroenterol. Oct 14, 2022; 28(38): 5530-5546
Published online Oct 14, 2022. doi: 10.3748/wjg.v28.i38.5530
Ultrasound-based artificial intelligence in gastroenterology and hepatology
Ji-Qiao Liu, Jia-Yu Ren, Xiao-Lan Xu, Li-Yan Xiong, Yue-Xiang Peng, Xiao-Fang Pan, Christoph F Dietrich, Xin-Wu Cui
Ji-Qiao Liu, Jia-Yu Ren, Xiao-Lan Xu, Li-Yan Xiong, Xin-Wu Cui, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
Yue-Xiang Peng, Department of Ultrasound, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan 430030, Hubei Province, China
Xiao-Fang Pan, Health Medical Department, Dalian Municipal Central Hospital, Dalian 116000, Liaoning Province, China
Christoph F Dietrich, Department Allgemeine Innere Medizin, Kliniken Hirslanden Beau Site, Salem und Permanence, Bern 3003, Switzerland
Author contributions: Cui XW and Dietrich CF established the design and conception of the paper; Liu JQ, Ren JY, Xu XL, Xiong LY, Peng YX, Pan XF, Cui XW, and Dietrich CF explored the literature data; Liu JQ provided the first draft of the manuscript, which was discussed and revised critically for intellectual content by Ren JY, Xu XL, Xiong LY, Peng YX, Pan XF, Cui XW, and Dietrich CF; All authors discussed the statement and conclusions and approved the final version to be published.
Supported by the National Natural Science Foundation of China, No. 82071953; and Medical Youth Top-notch Talent Project of Hubei Province.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: https: //creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xin-Wu Cui, MD, PhD, Professor, Director, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan 430030, Hubei Province, China. cuixinwu@live.cn
Received: July 1, 2022
Peer-review started: July 1, 2022
First decision: July 13, 2022
Revised: August 12, 2022
Accepted: September 22, 2022
Article in press: September 22, 2022
Published online: October 14, 2022
Processing time: 103 Days and 0.8 Hours
Core Tip

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.