Systematic Reviews
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 14, 2020; 26(42): 6679-6688
Published online Nov 14, 2020. doi: 10.3748/wjg.v26.i42.6679
Prognostic role of artificial intelligence among patients with hepatocellular cancer: A systematic review
Quirino Lai, Gabriele Spoletini, Gianluca Mennini, Zoe Larghi Laureiro, Diamantis I Tsilimigras, Timothy Michael Pawlik, Massimo Rossi
Quirino Lai, Gianluca Mennini, Zoe Larghi Laureiro, Massimo Rossi, Hepato-biliary and Organ Transplant Unit, Department of Surgery, Sapienza University of Rome, Rome 00161, Italy
Gabriele Spoletini, General Surgery and Liver Transplantation Unit, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome 00100, Italy
Diamantis I Tsilimigras, Timothy Michael Pawlik, Wexner Medical Center, The Ohio State University, Columbus, OH 43210, United States
Author contributions: Lai Q designed the study; Rossi M gave administrative support; Lai Q and Larghi Laureiro Z collected the data; Lai Q, Spoletini G, Mennini G, Larghi Laureiro Z and Tsilimigras DI analyzed and interpreted the data; Lai Q, Spoletini G, and Pawlik TM wrote the manuscript; all the authors approved the final version of the manuscript.
Conflict-of-interest statement: The authors have no conflict of interest to declare.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised in accordance with this checklist.
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:
Corresponding author: Quirino Lai, MD, PhD, Academic Fellow, Academic Research, Assistant Lecturer, Doctor, Senior Lecturer, Hepato-biliary and Organ Transplant Unit, Department of Surgery, Sapienza University of Rome, Roma, Rome 00161, Italy.
Received: August 29, 2020
Peer-review started: August 29, 2020
First decision: September 12, 2020
Revised: September 14, 2020
Accepted: October 1, 2020
Article in press: October 1, 2020
Published online: November 14, 2020
Core Tip

Core Tip: Prediction of survival after the treatment of hepatocellular carcinoma (HCC) has been widely investigated yet remains inadequate. The application of artificial intelligence (AI) is an emerging adjunct to traditional statistics due to its ability to process vast amounts of data and find hidden interconnections between variables. The current study aimed to assess the role of various methodologies of AI in the prediction of survival after treatment of HCC by performing a systematic review of the literature.