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Articles Published Processes
1/12/2022 4:01:56 AM | Browse: 398 | Download: 1385
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Received |
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2021-09-14 08:37 |
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Peer-Review Started |
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2021-09-14 08:37 |
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First Decision by Editorial Office Director |
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2021-10-18 01:16 |
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Return for Revision |
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2021-10-18 01:16 |
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Revised |
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2021-10-22 13:45 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2021-11-29 03:32 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2021-11-29 19:29 |
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Articles in Press |
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2021-11-29 19:29 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-12-29 06:08 |
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Publish the Manuscript Online |
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2022-01-12 04:01 |
| ISSN |
2307-8960 (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 |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Retrospective Study |
| Article Title |
Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Shu-Yi Lyu, Yan Zhang, Mei-Wu Zhang, Bai-Song Zhang, Li-Bo Gao, Lang-Tao Bai and Jue Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Zhejiang Medical and Health Science and Technology Plan Project |
2020KY837 |
| Zhejiang Medical and Health Science and Technology Plan Project |
2020KY852 |
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| Corresponding Author |
Yan Zhang, MD, Chief Doctor, Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, No. 41 Northwest Street, Ningbo 315010, Zhejiang Province, China. wjcclsy@163.com |
| Key Words |
BI-RADS classification; Artificial intelligence; Breast nodules; Breast tumor |
| Core Tip |
The accuracy of the AI-SONIC breast system in diagnosing BI-RADS 4 nodules is very high, which can improve the diagnostic accuracy of young doctors. It can also be used to upgrade and downgrade BI-RADS 4 nodules, guide clinical decision-making, reduce the biopsy rate for BI-RADS 4 nodules and prevent the waste of medical resources. |
| Publish Date |
2022-01-12 04:01 |
| Citation |
Lyu SY, Zhang Y, Zhang MW, Zhang BS, Gao LB, Bai LT, Wang J. Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules. World J Clin Cases 2022; 10(2): 518-527 |
| URL |
https://www.wjgnet.com/2307-8960/full/v10/i2/518.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v10.i2.518 |
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