Publication Name	World Journal of Gastroenterology
Manuscript ID	70014
Country	Mexico

Received	2021-07-27 15:31
Peer-Review Started	2021-07-27 15:34
To Make the First Decision
Return for Revision	2021-10-03 06:33
Revised	2021-10-07 17:35
Second Decision	2022-01-15 02:42
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-01-17 05:28
Articles in Press	2022-01-17 05:28
Publication Fee Transferred
Edit the Manuscript by Language Editor	2022-01-13 18:48
Typeset the Manuscript	2022-01-24 02:53
Publish the Manuscript Online	2022-01-25 09:22

ISSN	1007-9327 (print) and 2219-2840 (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	Medicine, Research & Experimental
Manuscript Type	Letter to the Editor
Article Title	Artificial intelligence model validation before its application in clinical diagnosis assistance
Manuscript Source	Invited Manuscript
All Author List	Gustavo Jesus Vazquez-Zapien, Monica Maribel Mata-Miranda, Francisco Garibay-Gonzalez and Miguel Sanchez-Brito
ORCID	Author(s) ORCID Number Gustavo Jesus Vazquez-Zapien http://orcid.org/0000-0002-6657-0722 Monica Maribel Mata-Miranda http://orcid.org/0000-0002-1811-4511 Francisco Garibay-Gonzalez http://orcid.org/0000-0002-1071-5208 Miguel Sanchez-Brito http://orcid.org/0000-0003-4371-0486
Funding Agency and Grant Number
Corresponding Author	Miguel Sanchez-Brito, MD, PhD, Research Assistant Professor, Instituto Tecnológico de Zacatepec, Industrial Engineering, TecNM, Plan de Ayala, Zacatepec 62780, Morelos, Mexico. miguel.sb@zacatepec.tecnm.mx
Key Words	Artificial intelligence; Diagnostic assistance; Validation tests; Leave-one-out cross-validation; K-fold validation; Hold-out validation
Core Tip	The validation tests and the process to adopt a particular artificial intelligence (AI) model are relevant. The percentages of accuracy, sensitivity, and specificity obtained through validation techniques are strong indicators of whether the AI model is suitable for implementation in clinical practice or whether it will be necessary to continue acquiring samples.
Publish Date	2022-01-25 09:22
Citation	Vazquez-Zapien GJ, Mata-Miranda MM, Garibay-Gonzalez F, Sanchez-Brito M. Artificial intelligence model validation before its application in clinical diagnosis assistance. World J Gastroenterol 2022; 28(5): 602-604
URL	https://www.wjgnet.com/1007-9327/full/v28/i5/602.htm
DOI	https://dx.doi.org/10.3748/wjg.v28.i5.602

Full Article (PDF)	WJG-28-602.pdf
Full Article (Word)	WJG-28-602.docx
Manuscript File	70014_Auto_Edited-JRF-Kerr C.docx
Answering Reviewers	70014-Answering reviewers.pdf
Audio Core Tip	70014-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	70014-Conflict-of-interest statement.pdf
Copyright License Agreement	70014-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	70014-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate	70014-Language certificate.pdf
Peer-review Report	70014-Peer-review(s).pdf
Scientific Misconduct Check	70014-Bing-Fan JR-2.png
Scientific Editor Work List	70014-Scientific editor work list.pdf