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Articles Published Processes
8/28/2026 1:49:22 AM | Browse: 2 | Download: 1
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Received |
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2026-05-07 03:11 |
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Peer-Review Started |
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2026-05-07 03:12 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-07-06 10:20 |
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Revised |
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2026-07-20 19:52 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-07-30 02:32 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-07-30 09:48 |
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Articles in Press |
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2026-07-30 09:48 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-19 04:40 |
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Publish the Manuscript Online |
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2026-08-28 01:49 |
| ISSN |
1949-8470 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Minireviews |
| Article Title |
Machine learning in neuroradiology: Recent developments and applications
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Manos Siderakis, Georgios Velonakis and Nikolaos-Achilleas Arkoudis |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Nikolaos-Achilleas Arkoudis, Lecturer, MD, PhD, Researcher, Research Unit of Radiology and Medical Imaging, National and Kapodistrian University of Athens, Papadiamantopoulou 19, Athens 115 28, Attikí, Greece. nick.arkoudis@gmail.com |
| Key Words |
Machine learning; Neuroradiology; Acute ischemic stroke; Neuro-oncology; Explainable artificial intelligence |
| Core Tip |
In this article, we focus on the most recent (post 2023) developments and applications of machine learning (ML) in neuroradiology. The ML models presented here attempt to assist radiologists in stroke imaging, cerebral aneurysm and hemorrhage detection, neuro-oncology, spine imaging, and demyelinating and degenerative diseases. Despite the potential of ML to become an essential player in modern neuroradiology departments, the complexity of ML, especially deep learning models, remains an obstacle to their broad clinical application. The framework of explainable artificial intelligence attempts to address this issue and increase transparency in the model structure and decision-making process. |
| Publish Date |
2026-08-28 01:49 |
| Citation |
Siderakis M, Velonakis G, Arkoudis NA. Machine learning in neuroradiology: Recent developments and applications. World J Radiol 2026; 18(8): 123022
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| URL |
https://www.wjgnet.com/1949-8470/full/v18/i8/123022.htm |
| DOI |
https://doi.org/10.4329/wjr.123022 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
