Publication Name	World Journal of Clinical Cases
Manuscript ID	90057
Country	Spain

Received	2023-12-20 19:13
Peer-Review Started	2023-12-20 19:13
To Make the First Decision
Return for Revision	2024-02-02 20:10
Revised	2024-02-08 20:32
Second Decision	2024-03-29 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-03-29 05:02
Articles in Press	2024-03-29 05:02
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-04-10 05:47
Publish the Manuscript Online	2024-04-16 07:57

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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Machine learning in liver surgery: Benefits and pitfalls
Manuscript Source	Unsolicited Manuscript
All Author List	Rafael Calleja, Manuel Durán, María Dolores Ayllón, Ruben Ciria and Javier Briceño
ORCID	Author(s) ORCID Number Rafael Calleja http://orcid.org/0000-0003-0048-0756 Manuel Durán http://orcid.org/0000-0003-1161-2195 María Dolores Ayllón http://orcid.org/0000-0003-2493-3756 Ruben Ciria http://orcid.org/0000-0002-7839-2329 Javier Briceño http://orcid.org/0000-0001-7027-7898
Funding Agency and Grant Number
Corresponding Author	Rafael Calleja, MD, Research Associate, Surgeon, Hepatobiliary Surgery and Liver Transplantation Unit, Hospital Universitario Reina Sofía, Maimonides Biomedical Research Institute of Cordoba, Avenida Menéndez Pidal s/n, Córdoba 14004, Spain. h12calor@gmail.com
Key Words	Machine learning; Liver surgery; Artificial intelligence; Random forest; Prediction model
Core Tip	Artificial intelligence is trending topic in healthcare research. Machine learning classifiers have been explored in the field of liver surgery and liver transplantation. However, despite of promising results, a real applicability is limited by several factors.
Publish Date	2024-04-16 07:57
Citation	Calleja R, Durán M, Ayllón MD, Ciria R, Briceño J. Machine learning in liver surgery: Benefits and pitfalls. World J Clin Cases 2024; 12(12): 2134-2137
URL	https://www.wjgnet.com/2307-8960/full/v12/i12/2134.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i12.2134

Full Article (PDF)	WJCC-12-2134-with-cover.pdf
Manuscript File	90057_Auto_Edited-YJP.docx
Answering Reviewers	90057-Answering reviewers.pdf
Audio Core Tip	90057-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	90057-Conflict-of-interest statement.pdf
Copyright License Agreement	90057-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	90057-Language certificate.pdf
Supplementary Material	90057-Copyright permission.pdf
Peer-review Report	90057-Peer-review(s).pdf
Scientific Misconduct Check	90057-Bing-Che XX-2.png
Scientific Editor Work List	90057-Scientific editor work list.pdf
CrossCheck Report	90057-CrossCheck report.pdf