Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	75829
Country	India

Received	2022-02-16 17:07
Peer-Review Started	2022-02-16 17:09
To Make the First Decision
Return for Revision	2022-04-20 16:26
Revised	2022-04-21 10:01
Second Decision	2022-04-28 03:28
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-04-28 04:16
Articles in Press	2022-04-28 04:16
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-04-29 00:56
Publish the Manuscript Online	2022-04-29 11:12

ISSN	2644-3236 (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: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Critical Care Medicine
Manuscript Type	Minireviews
Article Title	Artificial intelligence in critically ill diabetic patients: current status and future prospects
Manuscript Source	Invited Manuscript
All Author List	Deven Juneja, Anish Gupta and Omender Singh
ORCID	Author(s) ORCID Number Deven Juneja http://orcid.org/0000-0002-8841-5678 Anish Gupta http://orcid.org/0000-0002-0901-4797 Omender Singh http://orcid.org/0000-0002-3847-4645
Funding Agency and Grant Number
Corresponding Author	Deven Juneja, FCCP, MBBS, Director, Institute of critical care medicine, Max Super Speciality Hospital, Saket, 1, Press Enclave Road, Saket, New Delhi 110092, India. devenjuneja@gmail.com
Key Words	Artificial intelligence; Blood glucose; Critical care; Diabetes mellitus; Intensive care unit; Machine learning
Core Tip	Increasing number of applications and devices based on artificial intelligence are being tested and approved for medical care. These devices have the potential to change the way we presently manage chronic diseases like diabetes. Moreover, their application in data rich and dynamic intensive care unit environment may have great implications in detecting hypo or hyperglycemia and reducing glycemic variability, while improving safety and accuracy and reducing nursing workload. Devices like artificial pancreas and continuous glucose monitoring regulated insulin infusion systems have shown promise as comprehensive glucose control solutions and may change the future of care for critically ill diabetic patients.
Publish Date	2022-04-29 11:12
Citation	Juneja D, Gupta A, Singh O. Artificial intelligence in critically ill diabetic patients: current status and future prospects. Artif Intell Gastroenterol 2022; 3(2): 66-79
URL	https://www.wjgnet.com/2644-3236/full/v3/i2/66.htm
DOI	https://dx.doi.org/10.35712/aig.v3.i2.66

Full Article (PDF)	AIG-3-66.pdf
Full Article (Word)	AIG-3-66.docx
Manuscript File	75829_Auto_Edited-LJH.docx
Answering Reviewers	75829-Answering reviewers.pdf
Audio Core Tip	75829-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	75829-Conflict-of-interest statement.pdf
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Non-Native Speakers of English Editing Certificate	75829-Language certificate.pdf
Peer-review Report	75829-Peer-review(s).pdf
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Scientific Editor Work List	75829-Scientific editor work list.pdf