Publication Name	World Journal of Clinical Cases
Manuscript ID	89312
Country	China

Received	2023-10-27 12:23
Peer-Review Started	2023-10-27 12:24
To Make the First Decision
Return for Revision	2023-12-31 07:02
Revised	2024-01-02 08:35
Second Decision	2024-01-11 02:49
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-01-11 07:32
Articles in Press	2024-01-11 07:32
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-01-16 03:41
Publish the Manuscript Online	2024-01-25 08:28

ISSN	2307-8960 (online)
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Category	Pediatrics
Manuscript Type	Minireviews
Article Title	Postoperative accurate pain assessment of children and artificial intelligence: A medical hypothesis and planned study
Manuscript Source	Unsolicited Manuscript
All Author List	Jian-Ming Yue, Qi Wang, Bin Liu and Leng Zhou
ORCID	Author(s) ORCID Number Jian-Ming Yue http://orcid.org/0000-0002-1826-4931 Qi Wang http://orcid.org/0000-0003-0509-3851 Bin Liu http://orcid.org/0000-0001-5503-0053 Leng Zhou http://orcid.org/0000-0003-3374-7007
Funding Agency and Grant Number
Corresponding Author	Leng Zhou, MD, PhD, Associate Professor, Doctor, Department of Anesthesiology, West China Hospital, Sichuan University, No. 37 Guoxue Road, Wuhou District, Chengdu 610041, Sichuan Province, China. zhoulenghx@foxmail.com
Key Words	Pediatric; Perioperative pain; Assessment tool; Facial expression; Machine learning; Artificial intelligence
Core Tip	Valid and reliable pain assessment tools in perioperative period of children remain a challenging task by far. The artificial intelligence (AI) technology has reached an unprecedented level in image processing of deep facial models, which can effectively identify and systematically analyze various features of children’s facial expression. Based on the construction of a large database of images of facial expressions in children, we aim to develop an AI tool for pain assessment in order to improve the management of perioperative pain.
Publish Date	2024-01-25 08:28
Citation	Yue JM, Wang Q, Liu B, Zhou L. Postoperative accurate pain assessment of children and artificial intelligence: A medical hypothesis and planned study. World J Clin Cases 2024; 12(4): 681-687
URL	https://www.wjgnet.com/2307-8960/full/v12/i4/681.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i4.681

Full Article (PDF)	WJCC-12-681-with-cover.pdf
Full Article (Word)	WJCC-12-681.docx
Manuscript File	89312_Auto_Edited-LJH-YJP.docx
Answering Reviewers	89312-Answering reviewers.pdf
Audio Core Tip	89312-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	89312-Conflict-of-interest statement.pdf
Copyright License Agreement	89312-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	89312-Language certificate.pdf
Peer-review Report	89312-Peer-review(s).pdf
Scientific Misconduct Check	89312-Bing-Liu JH-2.png
Scientific Misconduct Check	89312-CrossCheck.png
Scientific Editor Work List	89312-Scientific editor work list.pdf