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©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Cancer. Oct 28, 2021; 2(5): 51-59
Published online Oct 28, 2021. doi: 10.35713/aic.v2.i5.51
Published online Oct 28, 2021. doi: 10.35713/aic.v2.i5.51
Artificial neural network for prediction of acute kidney injury after liver transplantation for cirrhosis and hepatocellular carcinoma
Luis Cesar Bredt, Department of Surgical Oncology and General Surgery, University Hospital of Western Paraná, State University of Western Paraná, Cascavel 85819-110, Paraná, Brazil
Luis Alberto Batista Peres, Department of Nephrology, University Hospital of Western Paraná, State University of Western Paraná, Cascavel 85819-110, Paraná, Brazil
Author contributions: Bredt LC and Peres LAB contributed equally to this review article; all authors equally contributed to this paper with conception and design of the study, literature review and analysis, drafting and critical revision and editing, and final approval of the final version.
Conflict-of-interest statement: No potential conflicts of interest. No financial support.
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/
Corresponding author: Luis Cesar Bredt, FRCS (Gen Surg), MD, PhD, Full Professor, Surgeon, Department of Surgical Oncology and General Surgery, University Hospital of Western Paraná, State University of Western Paraná, Tancredo Neves Avenue, Cascavel 85819-110, Paraná, Brazil. lcbredt@gmail.com
Received: October 12, 2021
Peer-review started: October 12, 2021
First decision: October 20, 2021
Revised: October 22, 2021
Accepted: October 27, 2021
Article in press: October 27, 2021
Published online: October 28, 2021
Peer-review started: October 12, 2021
First decision: October 20, 2021
Revised: October 22, 2021
Accepted: October 27, 2021
Article in press: October 27, 2021
Published online: October 28, 2021
Core Tip
Core Tip: This opinion review aims to explore the potential benefits of artificial neural network models in predicting the occurrence of acute kidney injury in the postoperative period of liver transplantation for cirrhosis and hepatocellular carcinoma.