Deep learning in hepatocellular carcinoma: Current status and future perspectives
Joseph C Ahn, Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55904, United States
Touseef Ahmad Qureshi, Debiao Li, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
Amit G Singal, Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States
Ju-Dong Yang, Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
Author contributions: Yang JD devised the project and the main conceptual ideas for the review; Ahn JC conducted the literature search and identified relevant studies to be included in the review; Qureshi TA and Li D provided the technical expertise on artificial intelligence and deep learning; Ahn JC drafted the manuscript; Yang JD and Singal AG revised the manuscript critically for important intellectual content; and all authors approved the final version to be published.
Conflict-of-interest statement: Dr. Yang provides a consulting service for Exact Sciences and Gilead; Dr. Singal has been on advisory boards and served as a consultant for Genentech, Bayer, Eisai, BMS, Exelixis, AstraZeneca, and TARGET RWE. No other potential conflicts of interest relevant to this article exist.
: 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: Ju-Dong Yang, MD, MS, Assistant Professor, Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, 8900 Beverly Blvd, Los Angeles, CA 90048, United States. email@example.com
Received: May 28, 2021
Peer-review started: May 28, 2021
First decision: July 6, 2021
Revised: July 19, 2021
Accepted: November 15, 2021
Article in press: November 15, 2021
Published online: December 27, 2021