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Articles Published Processes
7/18/2022 9:47:46 AM | Browse: 299 | Download: 573
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Received |
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2022-02-07 11:19 |
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Peer-Review Started |
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2022-02-07 11:20 |
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To Make the First Decision |
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Return for Revision |
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2022-04-10 07:56 |
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Revised |
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2022-04-18 04:11 |
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Second Decision |
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2022-06-17 03:04 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2022-06-20 03:58 |
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Articles in Press |
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2022-06-20 03:58 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-06-23 10:08 |
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Publish the Manuscript Online |
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2022-07-18 09:47 |
| 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: https://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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| 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 |
Artificial intelligence in liver ultrasound
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Liu-Liu Cao, Mei Peng, Xiang Xie, Gong-Quan Chen, Shu-Yan Huang, Jia-Yu Wang, Fan Jiang, Xin-Wu Cui and Christoph F Dietrich |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82071953 |
| 2020 Hunan Province Clinical Medical Technology Innovation Guidance Project |
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| Corresponding Author |
Fan Jiang, MD, Associate Professor, Department of Medical Ultrasound, The Second Hospital of Anhui Medical University, No. 678 Furong Road, Economic and Technological Development Zone, Hefei 230601, Anhui Province, China. ahultrasound2005@126.com |
| Key Words |
Machine learning; Deep learning; Radiomics; Diffuse liver diseases; Focal liver diseases; Ultrasound |
| Core Tip |
Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in the field of medical imaging. Currently, there is a need of a comprehensive review to introduce the application of AI based on ultrasound in diffuse and focal liver lesions. In this article, we introduce the application of AI in the assessment of liver fibrosis and nonalcoholic fatty liver and the differentiation of focal liver lesions. In addition, we discuss the performance of AI based on ultrasound in predicting curative effect, prognosis and microvascular invasion in hepatocellular carcinoma. Lastly, we illustrate the future prospect of AI in liver ultrasound. |
| Publish Date |
2022-07-18 09:47 |
| Citation |
Cao LL, Peng M, Xie X, Chen GQ, Huang SY, Wang JY, Jiang F, Cui XW, Dietrich CF. Artificial intelligence in liver ultrasound. World J Gastroenterol 2022; 28(27): 3398-3409 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i27/3398.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i27.3398 |
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