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

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
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.
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

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 Company 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

ISSN	2307-8960 (online)
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