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9/3/2025 2:13:54 AM | Browse: 49 | Download: 42
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Received |
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2025-04-03 03:20 |
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Peer-Review Started |
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2025-04-03 03:21 |
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To Make the First Decision |
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Return for Revision |
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2025-04-28 09:22 |
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Revised |
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2025-05-12 22:11 |
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Second Decision |
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2025-08-11 02:52 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-08-12 02:17 |
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Articles in Press |
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2025-08-12 02:17 |
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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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2025-08-21 06:35 |
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Publish the Manuscript Online |
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2025-09-03 02:10 |
| ISSN |
2644-3260 (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) 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 |
Oncology |
| Manuscript Type |
Review |
| Article Title |
Updates on glioblastoma multiforme: From epidemiology to imaging and artificial intelligence
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| Manuscript Source |
Invited Manuscript |
| All Author List |
M'hamed Bentourkia and Redha-Alla Abdo |
| Funding Agency and Grant Number |
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| Corresponding Author |
M'hamed Bentourkia, PhD, Professor, Department of Medical Imaging and Radiation Sciences, University of Sherbrooke, Department of Medical imaging and radiation sciences, university of Sherbrooke, 3001, 12th, avenue North, Sherbrooke J1H5N4, Quebec, Canada. mhamed.bentourkia@usherbrooke.ca |
| Key Words |
Glioblastoma; Cancer; Radiation therapy; Chemotherapy; Imaging; Positron emission tomography; Magnetic resonance imaging; Artificial intelligence |
| Core Tip |
Glioblastoma remains one of the most lethal brain cancers due to its complexity and resistance to therapy. Artificial intelligence (AI) offers transformative potential in early detection, precision surgery, personalized treatment, and drug discovery. By integrating imaging, genomics, and clinical data, AI paves the way to improved capabilities for faster and more effective glioblastoma care. |
| Publish Date |
2025-09-03 02:10 |
| Citation |
<p>Bentourkia M, Abdo RA. Updates on glioblastoma multiforme: From epidemiology to imaging and artificial intelligence. <i>Artif Intell Med Imaging</i> 2025; 6(2): 108032</p> |
| URL |
https://www.wjgnet.com/2644-3260/full/v6/i2/108032.htm |
| DOI |
https://dx.doi.org/10.35711/aimi.v6.i2.108032 |
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