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8/2/2021 9:46:54 AM | Browse: 146 | Download: 166
Publication Name World Journal of Gastroenterology
Manuscript ID 65150
Country/Territory China
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Artificial intelligence for hepatitis evaluation
Manuscript Source Invited Manuscript
All Author List Wei Liu, Xue Liu, Mei Peng, Gong-Quan Chen, Peng-Hua Liu, Xin-Wu Cui, Fan Jiang and Christoph F Dietrich
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China 82071953
Department of Science and Technology of Hunan Province 2020SK52103
Corresponding Author Xin-Wu Cui, MD, PhD, Professor, Sino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue , Wuhan 430030, Hubei , China. cuixinwu@live.cn
Key Words Machine learning; Deep learning; Radiomics; Hepatitis; Fibrosis; Hepatocellular carcinoma
Core Tip Currently, there is a need of a comprehensive review to introduce the applications of artificial intelligence (AI) in hepatitis. We firstly discuss the possible value of AI based data mining in predicting the incidence of hepatitis, classifying the different stages of hepatitis, diagnosing or screening for hepatitis, forecasting the progression of hepatitis, and predicting response to antiviral drugs in chronic hepatitis C patients. In addition, we introduce the applications of AI based on radiology in predicting hepatitis and liver fibrosis, grading hepatocellular carcinoma (HCC) and differentiating from benign liver tumors, predicting the risk of vascular invasion of HCC, the risk of hepatic encephalopathy secondary to hepatitis B related cirrhosis.
Citation Liu W, Liu X, Peng M, Chen GQ, Liu PH, Cui XW, Jiang F, Dietrich CF. Artificial intelligence for hepatitis evaluation. World J Gastroenterol 2021; 27(34): 5715-5726
Received
2021-03-01 10:36
Peer-Review Started
2021-03-01 10:41
To Make the First Decision
Return for Revision
2021-04-18 02:01
Revised
2021-04-28 04:59
Second Decision
2021-08-02 02:53
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-08-02 09:46
Articles in Press
2021-08-02 09:46
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-08-16 10:07
Typeset the Manuscript
2021-09-02 03:48
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) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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