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Articles Published Processes
3/7/2023 3:37:00 AM | Browse: 150 | Download: 357
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Received |
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2022-10-14 08:38 |
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Peer-Review Started |
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2022-10-14 08:41 |
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To Make the First Decision |
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Return for Revision |
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2022-11-14 09:10 |
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Revised |
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2022-11-21 11:33 |
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Second Decision |
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2023-01-28 03:35 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2023-02-01 22:44 |
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Articles in Press |
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2023-02-01 22:44 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-01-20 03:21 |
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Typeset the Manuscript |
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2023-02-03 02:35 |
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Publish the Manuscript Online |
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2023-03-07 03:37 |
| 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) 2023. 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 |
Medicine, Research & Experimental |
| Manuscript Type |
Letter to the Editor |
| Article Title |
The artificial intelligence evidence-based medicine pyramid
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Valentina Bellini, Federico Coccolini, Francesco Forfori and Elena Bignami |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Elena Bignami, MD, Professor, Department of Medicine and Surgery, University of Parma, Anesthesiology, Critical Care and Pain Medicine Division, Viale Gramsci 14, Parma 43126, Italy. elenagiovanna.bignami@unipr.it |
| Key Words |
Artificial intelligence; Intensive care; Intensive care unit; Evidence-based medicine; Clinical research |
| Core Tip |
The presence of Artificial Intelligence (AI) in intensive care is nowadays a reality. However, there is still an important discrepancy between the results found in the scientific literature and the day-to-day clinical implementation of this technology. One reason for this is that the AI evidence pyramid in intensive care has only just begun to emerge. We need to focus on the next steps in AI pyramid evidence, amplifying the external validation of models and increasing the number of randomized clinical trials. Only robust validation studies, carried out by multidisciplinary teams, will help bridge this existing gap between clinical research and clinical practice. |
| Publish Date |
2023-03-07 03:37 |
| Citation |
Bellini V, Coccolini F, Forfori F, Bignami E. The artificial intelligence evidence-based medicine pyramid. World J Crit Care Med 2023; 12(2): 89-91 |
| URL |
https://www.wjgnet.com/2220-3141/full/v12/i2/89.htm |
| DOI |
https://dx.doi.org/10.5492/wjccm.v12.i2.89 |
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