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Articles Published Processes
12/26/2025 6:25:50 AM | Browse: 1 | Download: 1
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Received |
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2025-10-17 06:53 |
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Peer-Review Started |
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2025-10-17 06:54 |
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First Decision by Editorial Office Director |
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2025-10-22 08:56 |
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Return for Revision |
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2025-10-22 08:56 |
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Revised |
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2025-10-22 17:44 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-12-02 02:47 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-12-03 07:15 |
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Articles in Press |
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2025-12-03 07:15 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-12-23 00:33 |
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Publish the Manuscript Online |
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2025-12-26 06:25 |
| 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) 2025. 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 |
Observational Study |
| Article Title |
Radiologists’ perspectives on the use of artificial intelligence in emergency radiology: A pilot survey
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Francesca R Centini, Daniil Fedorov and Arosh S Perera Molligoda Arachchige |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Arosh S Perera Molligoda Arachchige, MD, Faculty of Medicine, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele 20072, Lombardy, Italy. aroshperera@outlook.it |
| Key Words |
Emergency radiology; Demographics; Limitations; Applications; Survey |
| Core Tip |
This study addresses the limited data on how emergency radiologists worldwide perceive, use, and trust artificial intelligence (AI) tools in clinical workflows, highlighting an unmet need for global insight. Surveying 57 emergency radiologists globally, we found high AI awareness (93%) but limited frequent use (28%), with the United States and Italy as leading respondent countries. Understanding emergency radiologists’ attitudes towards AI guides tailored implementation, improving diagnostic accuracy, workflow efficiency, and ultimately patient care in emergency imaging. |
| Publish Date |
2025-12-26 06:25 |
| Citation |
Centini FR, Fedorov D, Perera Molligoda Arachchige AS. Radiologists’ perspectives on the use of artificial intelligence in emergency radiology: A pilot survey. World J Radiol 2025; 17(12): 115388 |
| URL |
https://www.wjgnet.com/1949-8470/full/v17/i12/115388.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v17.i12.115388 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
