Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	94070
Country	Spain

Received	2024-03-10 20:09
Peer-Review Started	2024-03-10 20:09
To Make the First Decision
Return for Revision	2024-04-02 19:40
Revised	2024-04-03 11:49
Second Decision	2024-04-22 02:53
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-04-22 04:55
Articles in Press	2024-04-22 04:55
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-06-12 10:42
Publish the Manuscript Online	2024-06-30 07:39

ISSN	1948-9366 (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	Surgery
Manuscript Type	Editorial
Article Title	From the mathematical model to the patient: The scientific and human aspects of artificial intelligence in gastrointestinal surgery
Manuscript Source	Invited Manuscript
All Author List	Javier Arredondo Montero
ORCID	Author(s) ORCID Number Javier Arredondo Montero http://orcid.org/0000-0002-0943-6367
Funding Agency and Grant Number
Corresponding Author	Javier Arredondo Montero, MD, PhD, Researcher, Surgeon, Department of Pediatric Surgery, Complejo Asistencial Universitario de León, c/Altos de Nava s/n, León 24008, Castilla y Leon, Spain. javier.montero.arredondo@gmail.com
Key Words	Survivor bias; Data analysis; Machine learning; Ethics; Critical thinking; Postsurgical; Complications; Inflammatory bowel disease; Gastrointestinal surgery
Core Tip	Recent medical literature shows that the application of artificial intelligence models in gastrointestinal pathology is an exponentially growing field. In this work, the authors present the development of a predictive algorithm for early post-surgical complications in Crohn's disease based on a Random Forest model with exceptional predictive ability for complications within the cohort. The present work, based on logical and reasoned, clinical, and applicable aspects lays, a solid foundation for future prospective work to further develop post-surgical prognostic tools for inflammatory bowel disease.
Publish Date	2024-06-30 07:39
Citation	<p>Arredondo Montero J. From the mathematical model to the patient: The scientific and human aspects of artificial intelligence in gastrointestinal surgery. <i>World J Gastrointest Surg</i> 2024; 16(6): 1517-1520</p>
URL	https://www.wjgnet.com/1948-9366/full/v16/i6/1517.htm
DOI	https://dx.doi.org/10.4240/wjgs.v16.i6.1517

Full Article (PDF)	WJGS-16-1517-with-cover.pdf
Manuscript File	94070_Auto_Edited-YJP.docx
Answering Reviewers	94070-answering-reviewers.pdf
Audio Core Tip	94070-audio.mp3
Conflict-of-Interest Disclosure Form	94070-conflict-of-interest-statement.pdf
Copyright License Agreement	94070-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	94070-non-native-speakers.pdf
Peer-review Report	94070-peer-reviews.pdf
Scientific Misconduct Check	94070-scientific-misconduct-check.jpg
Scientific Editor Work List	94070-scientific-editor-work-list.pdf
CrossCheck Report	94070-crosscheck-report.pdf