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©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastroenterol. Sep 28, 2020; 1(3): 51-59
Published online Sep 28, 2020. doi: 10.35712/aig.v1.i3.51
Published online Sep 28, 2020. doi: 10.35712/aig.v1.i3.51
Artificial intelligence for the study of colorectal cancer tissue slides
Vincenzo Formica, Cristina Morelli, Silvia Riondino, Nicola Renzi, Daniele Nitti, Mario Roselli, Department of Systems Medicine, Medical Oncology Unit, Tor Vergata University Hospital, Rome 00133, Italy
Author contributions: Formica V, Morelli C, Riondino S and Roselli M designed the research study; Nitti D and Renzi N performed the research for retrieval of relevant articles; Formica V, Morelli C and Riondino S analyzed the articles and wrote the manuscript; All authors have read and approve the final manuscript.
Conflict-of-interest statement: None to declare.
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: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Vincenzo Formica, MD, PhD, Chief Doctor, Department of Systems Medicine, Medical Oncology Unit, Tor Vergata University Hospital, Viale Oxford 81, Rome 00133, Italy. vincenzo.formica@uniroma2.it
Received: June 29, 2020
Peer-review started: June 29, 2020
First decision: July 28, 2020
Revised: September 25, 2020
Accepted: September 27, 2020
Article in press: September 27, 2020
Published online: September 28, 2020
Peer-review started: June 29, 2020
First decision: July 28, 2020
Revised: September 25, 2020
Accepted: September 27, 2020
Article in press: September 27, 2020
Published online: September 28, 2020
Core Tip
Core Tip: Artificial intelligence (AI) is gaining incredible momentum as a companion diagnostic in a number of fields in oncology. In the present mini-review, we summarize the main uses and findings of AI applied to the analysis of digital histopathological images of slides from colorectal cancer patients.