Publication Name	World Journal of Clinical Cases
Manuscript ID	95503
Country	China

Received	2024-04-11 11:15
Peer-Review Started	2024-04-11 11:15
To Make the First Decision
Return for Revision	2024-05-09 23:33
Revised	2024-05-15 09:53
Second Decision	2024-06-04 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-06-04 10:23
Articles in Press	2024-06-04 10:23
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-06-10 20:04
Typeset the Manuscript	2024-06-29 16:36
Publish the Manuscript Online	2024-07-05 10:19

ISSN	2307-8960 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Computer Science, Artificial Intelligence
Manuscript Type	Editorial
Article Title	Application of artificial intelligence in the diagnosis and treatment of Kawasaki disease
Manuscript Source	Invited Manuscript
All Author List	Yan Pan and Fu-Yong Jiao
ORCID	Author(s) ORCID Number Yan Pan http://orcid.org/0000-0003-0240-7085 Fu-Yong Jiao http://orcid.org/0000-0002-8306-2543
Funding Agency and Grant Number
Corresponding Author	Fu-Yong Jiao, MD, Research Scientist, Shaanxi Kawasaki Disease Diagnosis and Treatment Center, Shaanxi Provincial People's Hospital, No. 256 West Youyi Road, Xi’an 710000, Shaanxi Province, China. 3105089948@qq.com
Key Words	Artificial intelligence; Kawasaki disease; Diagnosis; Prediction; Image
Core Tip	Artificial intelligence (AI) holds transformative potential in the diagnosis and treatment of Kawasaki Disease (KD). Utilizing machine learning algorithms, AI can analyze complex biomarkers to enhance diagnostic accuracy. Gene signal calculation tools can differentiate KD from similar inflammatory conditions, while deep learning algorithms can improve the precision of cardiac ultrasound detection. However, successful integration of AI into clinical practice requires addressing challenges such as data privacy, ethical considerations, and the need for robust, diverse datasets to ensure the reliability and accountability of AI systems.
Publish Date	2024-07-05 10:19
Citation	<p>Pan Y, Jiao FY. Application of artificial intelligence in the diagnosis and treatment of Kawasaki disease. <i>World J Clin Cases</i> 2024; 12(23): 5304-5307</p>
URL	https://www.wjgnet.com/2307-8960/full/v12/i23/5304.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i23.5304

Full Article (PDF)	WJCC-12-5304-with-cover.pdf
Manuscript File	95503-Review-Filipodia.docx
Answering Reviewers	95503-answering-reviewers.pdf
Audio Core Tip	95503-audio.mp3
Conflict-of-Interest Disclosure Form	95503-conflict-of-interest-statement.pdf
Copyright License Agreement	95503-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	95503-non-native-speakers.pdf
Peer-review Report	95503-peer-reviews.pdf
Scientific Misconduct Check	95503-scientific-misconduct-check.png
Scientific Editor Work List	95503-scientific-editor-work-list.pdf
CrossCheck Report	95503-crosscheck-report.pdf