Minireviews
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jan 7, 2022; 28(1): 108-122
Published online Jan 7, 2022. doi: 10.3748/wjg.v28.i1.108
Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases
Gianluca Rompianesi, Francesca Pegoraro, Carlo DL Ceresa, Roberto Montalti, Roberto Ivan Troisi
Gianluca Rompianesi, Francesca Pegoraro, Roberto Ivan Troisi, Division of Hepato-Bilio-Pancreatic, Minimally Invasive and Robotic Surgery, Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples 80125, Italy
Carlo DL Ceresa, Department of Hepato-Pancreato-Biliary Surgery, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9ES, United Kingdom
Roberto Montalti, Division of Hepato-Bilio-Pancreatic, Minimally Invasive and Robotic Surgery, Department of Public Health, Federico II University Hospital, Naples 80125, Italy
Author contributions: Rompianesi G conceptualized the manuscript; Rompianesi G and Montalti R wrote the manuscript; Pegoraro F performed the literature search and the data analysis and extraction; Ceresa CDL and Troisi RI reviewed and edited the manuscript; and all authors have read and approve the final manuscript.
Conflict-of-interest statement: No Author has any conflict of interest to disclose.
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: Gianluca Rompianesi, FEBS, MD, PhD, Assistant Professor, Surgeon, Division of Hepato-Bilio-Pancreatic, Minimally Invasive and Robotic Surgery, Department of Clinical Medicine and Surgery, Federico II University Hospital, via Pansini 5, Naples 80125, Italy. gianlucarompianesi@gmail.com
Received: August 13, 2021
Peer-review started: August 13, 2021
First decision: October 2, 2021
Revised: October 12, 2021
Accepted: December 25, 2021
Article in press: December 25, 2021
Published online: January 7, 2022
Core Tip

Core tip: The digitalization of healthcare generating huge amount of data set the ground for the progressive ubiquitous application of artificial intelligence (AI) technologies in healthcare. AI analyses can assist clinicians in all phases of colorectal liver metastases natural history: From predicting their occurrence, to increasing diagnostic accuracy or estimating recurrence risk after treatment and patient outcome. The implementation of AI resources supports the contemporary paradigm shift that sees healthcare focus moving from a generalized, disease-oriented to an individual, patient-centered, precision medicine approach.