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Articles Published Processes
7/18/2025 3:29:26 PM | Browse: 5 | Download: 39
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Received |
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2024-10-31 05:29 |
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Peer-Review Started |
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2024-10-31 05:29 |
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To Make the First Decision |
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Return for Revision |
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2025-03-05 08:16 |
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Revised |
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2025-03-19 06:06 |
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Second Decision |
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2025-04-14 02:41 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-04-14 09:00 |
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Articles in Press |
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2025-04-14 09:00 |
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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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2025-05-15 06:57 |
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Publish the Manuscript Online |
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2025-07-18 15:29 |
| 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: 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 |
Critical Care Medicine |
| Manuscript Type |
Opinion Review |
| Article Title |
Utilizing artificial intelligence as an arbitrary tool in managing difficult COVID-19 cases in critical care medicine
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Lyubomir Chervenkov, Dimitrina Georgieva Miteva and Tsvetelina Velikova |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the European Union-NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria |
BG-RRP-2.004-0008 |
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| Corresponding Author |
Lyubomir Chervenkov, Assistant Professor, MD, PhD, Department of Diagnostic Imaging, Medical University Plovdiv, Bul. Vasil Aprilov 15A, Plovdiv 4000, Bulgaria. lyubo.ch@gmail.com |
| Key Words |
Artificial Intelligence; COVID-19; High-resolution computed tomography; Computed tomography; Diagnosis; Treatment; Critical care medicine arbitrary |
| Core Tip |
Coronavirus disease 2019 (COVID-19) presents a range of characteristic patterns and findings on computed tomography (CT) scans that reflect disease progression and severity. Accurate interpretation is crucial for patient management, yet this task is complicated by the variability in radiologists' experience and training. Standardizing CT reporting by grouping findings into distinct categories based on disease stage could improve consistency. However, variability and potential subjectivity persist, highlighting the need for artificial intelligence (AI) support in imaging diagnostics. AI can aid radiologists in achieving more accurate, objective interpretations by identifying, classifying, and quantifying changes, ultimately contributing to a more reliable and standardized approach to diagnosing and managing COVID-19 in critical care settings. |
| Publish Date |
2025-07-18 15:29 |
| Citation |
<p>Chervenkov L, Miteva DG, Velikova T. Utilizing artificial intelligence as an arbitrary tool in managing difficult COVID-19 cases in critical care medicine. <i>World J Crit Care Med</i> 2025; 14(3): 102808</p> |
| URL |
https://www.wjgnet.com/2220-3141/full/v14/i3/102808.htm |
| DOI |
https://dx.doi.org/10.5492/wjccm.v14.i3.102808 |
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