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Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Apr 28, 2021; 27(16): 1664-1690
Published online Apr 28, 2021. doi: 10.3748/wjg.v27.i16.1664
Artificial intelligence in gastroenterology and hepatology: Status and challenges
Jia-Sheng Cao, Zi-Yi Lu, Ming-Yu Chen, Bin Zhang, Sarun Juengpanich, Jia-Hao Hu, Shi-Jie Li, Win Topatana, Xue-Yin Zhou, Xu Feng, Ji-Liang Shen, Yu Liu, Xiu-Jun Cai
Jia-Sheng Cao, Ming-Yu Chen, Bin Zhang, Jia-Hao Hu, Shi-Jie Li, Xu Feng, Ji-Liang Shen, Xiu-Jun Cai, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou 310016, Zhejiang Province, China
Zi-Yi Lu, Sarun Juengpanich, Win Topatana, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang Province, China
Xue-Yin Zhou, School of Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
Yu Liu, College of Life Sciences, Zhejiang University, Hangzhou 310058, Zhejiang Province, China
Author contributions: Cao JS, Lu ZY, Chen MY, and Cai XJ designed the study and collected the data; Zhang B, Juengpanich S, Hu JH, Li SJ, Topatana W, and Zhou XY analyzed and interpreted the data; Cao JS, Lu ZY, and Chen MY wrote the manuscript; Cai XJ revised the manuscript; all authors approved the final version of the manuscript.
Supported by Zhejiang Medical and Health Science and Technology Project, No. 2019321842; National Natural Science Foundation of China, No. 81827804; and Zhejiang Clinical Research Center of Minimally Invasive Diagnosis and Treatment of Abdominal Diseases, No. 2018E50003.
Conflict-of-interest statement: The authors deny any conflict of interest.
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/
Corresponding author: Xiu-Jun Cai, FACS, FRCS, MD, PhD, Chief Doctor, Professor, Surgeon, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, No. 3 Qingchun East Road, Hangzhou 310016, Zhejiang Province, China. srrsh_cxj@zju.edu.cn
Received: January 15, 2021
Peer-review started: January 15, 2021
First decision: February 9, 2021
Revised: February 11, 2021
Accepted: March 17, 2021
Article in press: March 17, 2021
Published online: April 28, 2021
Processing time: 95 Days and 13 Hours
Core Tip

Core Tip: Artificial intelligence (AI) technologies are widely used for medical image analysis in the gastroenterology and hepatology fields. Several AI models have been developed for accurate diagnosis, treatment, and prognosis based on images of endoscopy, radiology, pathology, achieving high performance comparable to experts. However, we should be aware of the certain constraints that limit the acceptance and utilization of AI tools in clinical practice. To use AI wisely, doctors and researchers should work together to address the current challenges and develop more accurate AI tools to improve patient care.