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Articles Published Processes
1/26/2026 6:06:22 AM | Browse: 5 | Download: 4
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Received |
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2025-12-17 01:39 |
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Peer-Review Started |
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2025-12-17 01:39 |
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First Decision by Editorial Office Director |
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2026-01-06 09:12 |
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Return for Revision |
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2026-01-06 09:12 |
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Revised |
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2026-01-12 04:54 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-01-15 02:33 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-01-15 10:05 |
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Articles in Press |
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2026-01-15 10:05 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-01-22 00:25 |
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Publish the Manuscript Online |
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2026-01-26 06:06 |
| ISSN |
1949-8470 (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) 2026. 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 |
Editorial |
| Article Title |
Expanding the applications of artificial intelligence in emergency radiology: Advancing precision medicine and resource efficiency
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Zhen-Xing He, Jie Wang and Jian-She Yang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Jian-She Yang, Academic Fellow, Chairman, Dean, Full Professor, PhD, Professor, Department of Nuclear Medicine and Oncology Research, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, No. 301 Yanchang Road, Shanghai 200072, China. 2305499@tongji.edu.cn |
| Key Words |
Artificial intelligence; Emergency medicine; Radiology; Precision medicine; Multimodal decision support |
| Core Tip |
With emerging technologies such as quantum computing and federated learning poised to revolutionize diagnostic capabilities, the future of artificial intelligence in emergency radiology is promising. These innovations will enable the rapid processing of complex imaging data and support precision medicine tailored to individual patient needs. By overcoming current challenges and leveraging current and future advancements in artificial intelligence, emergency radiology will achieve new heights in precision medicine, ultimately enhancing patient care and operational efficiency. |
| Publish Date |
2026-01-26 06:06 |
| Citation |
He ZX, Wang J, Yang JS. Expanding the applications of artificial intelligence in emergency radiology: Advancing precision medicine and resource efficiency. World J Radiol 2026; 18(1): 117814 |
| URL |
https://www.wjgnet.com/1949-8470/full/v18/i1/117814.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v18.i1.117814 |
© 2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
