Publication Name	World Journal of Critical Care Medicine
Manuscript ID	80830
Country	Italy

Received	2022-10-14 08:38
Peer-Review Started	2022-10-14 08:41
To Make the First Decision
Return for Revision	2022-11-14 09:10
Revised	2022-11-21 11:33
Second Decision	2023-01-28 03:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2023-02-01 22:44
Articles in Press	2023-02-01 22:44
Publication Fee Transferred
Edit the Manuscript by Language Editor	2023-01-20 03:21
Typeset the Manuscript	2023-02-03 02:35
Publish the Manuscript Online	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/
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Category	Medicine, Research & Experimental
Manuscript Type	Letter to the Editor
Article Title	The artificial intelligence evidence-based medicine pyramid
Manuscript Source	Unsolicited Manuscript
All Author List	Valentina Bellini, Federico Coccolini, Francesco Forfori and Elena Bignami
Funding Agency and Grant Number
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

Full Article (PDF)	WJCCM-12-89.pdf
Full Article (Word)	WJCCM-12-89.docx
Manuscript File	80830_Auto_Edited-LM.docx
Answering Reviewers	80830-Answering reviewers.pdf
Audio Core Tip	80830-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	80830-Conflict-of-interest statement.pdf
Copyright License Agreement	80830-Copyright license agreement.pdf
Peer-review Report	80830-Peer-review(s).pdf
Scientific Misconduct Check	80830-Bing Xing YX-2.png
Scientific Editor Work List	80830-Scientific editor work list.pdf
CrossCheck Report	80830-CrossCheck report.pdf