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Articles in Press
5/24/2025 1:57:12 AM | Browse: 41 | Download: 0
Category |
Anesthesiology |
Manuscript Type |
Minireviews |
Article Title |
Artificial intelligence in traumatic brain injury: Brain imaging analysis and outcome prediction: A mini review
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Manuscript Source |
Invited Manuscript |
All Author List |
Luca Marino and Federico Bilotta |
Funding Agency and Grant Number |
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Corresponding Author |
Federico Bilotta, MD, PhD, Professor, Department of Anesthesiology, Critical Care and Pain Medicine, University of Rome “La Sapienza”, Piazzale Aldo Moro 5, Rome 00185, Italy. federico.bilotta@uniroma1.it |
Key Words |
Artificial intelligence; Traumatic brain injury; Outcome prediction; Brain imaging |
Core Tip |
Several reviews in the literature contributed to the role of Artificial Intelligence (AI) in medicine. However, this mini-review focuses of the potential role of AI in imaging analysis and outcome prediction of traumatic brain injury patients. Evidence of the latest results obtained with different AI-based technologies, in particular Machine learning and Deep learning algorithms, are provided. |
Citation |
Marino L, Bilotta F. Artificial intelligence in traumatic brain injury: Brain imaging analysis and outcome prediction. A mini review. World J Crit Care Med 2025; In press |
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Received |
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2025-03-27 04:09 |
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Peer-Review Started |
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2025-03-27 04:09 |
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To Make the First Decision |
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Return for Revision |
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2025-04-01 04:44 |
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Revised |
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2025-04-15 09:53 |
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Second Decision |
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2025-05-22 02:42 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-05-24 01:57 |
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Articles in Press |
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2025-05-24 01:57 |
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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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ISSN |
2220-3141(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. |
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 |
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