Publication Name	World Journal of Critical Care Medicine
Manuscript ID	76890
Country	China

Received	2022-04-11 05:23
Peer-Review Started	2022-04-11 05:25
To Make the First Decision
Return for Revision	2022-04-28 08:55
Revised	2022-05-03 02:26
Second Decision	2022-07-13 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2022-07-17 23:49
Articles in Press	2022-07-17 23:49
Publication Fee Transferred
Edit the Manuscript by Language Editor	2022-07-10 23:59
Typeset the Manuscript	2022-07-22 01:38
Publish the Manuscript Online	2022-09-07 03:41

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	Critical Care Medicine
Manuscript Type	Editorial
Article Title	Data science in the intensive care unit
Manuscript Source	Invited Manuscript
All Author List	Ming-Hao Luo, Dan-Lei Huang, Jing-Chao Luo, Ying Su, Jia-Kun Li, Guo-Wei Tu and Zhe Luo
ORCID	Author(s) ORCID Number Guo-Wei Tu http://orcid.org/0000-0001-7861-7631
Funding Agency and Grant Number
Corresponding Author	Guo-Wei Tu, MD, PhD, Associate Professor, Chief Doctor, Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai 200032, China. tu.guowei@zs-hospital.sh.cn
Key Words	Artificial intelligence; COVID-19; Data science; Intensive care units; Interaction
Core Tip	Data in intensive care units (ICUs) can be classified into qualitative and quantitative data with different technologies needed to translate and interpret them. Data science, in the form of artificial intelligence (AI), should find the right interaction between physicians, data and algorithm to maximize the utility. AI deployment in the ICUs should be emphasized more to facilitate AI development. Individual-level applications such as disease prediction, and ICU-level potentials such as resource allocation are both of paramount importance.
Publish Date	2022-09-07 03:41
Citation	Luo MH, Huang DL, Luo JC, Su Y, Li JK, Tu GW, Luo Z. Data science in the intensive care unit. World J Crit Care Med 2022; 11(5): 311-316
URL	https://www.wjgnet.com/2220-3141/full/v11/i5/311.htm
DOI	https://dx.doi.org/10.5492/wjccm.v11.i5.311

Full Article (PDF)	WJCCM-11-311-with-cover.pdf
Full Article (Word)	WJCCM-11-311.docx
Manuscript File	76890_Auto_Edited-LLW-Filipodia-LS.docx
Answering Reviewers	76890-Answering reviewers.pdf
Audio Core Tip	76890-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	76890-Conflict-of-interest statement.pdf
Copyright License Agreement	76890-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	76890-Language certificate.pdf
Peer-review Report	76890-Peer-review(s).pdf
Scientific Misconduct Check	76890-Bing-Wang LL-2.png
Scientific Editor Work List	76890-Scientific editor work list.pdf
CrossCheck Report	76890-CrossCheck report.pdf