Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising
Antonio Mendoza Ladd, Department of Internal Medicine, Division of Gastroenterology, Texas Tech University Health Sciences Center El Paso, El Paso, TX 79905, United States
David L Diehl, Department of Gastroenterology and Nutrition, Geisinger Medical Center, Danville, PA 17822, United States
Author contributions: Both Mendoza Ladd A and Diehl D participated equally in the literature search and the drafting, editing and approval of the final manuscript.
Conflict-of-interest statement: Authors declare no conflict of interest exist for this manuscript.
: 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: Antonio Mendoza Ladd, FACG, FASGE, Assistant Professor, Department of Internal Medicine, Division of Gastroenterology, Texas Tech University Health Sciences Center El Paso, 4800 Alberta Avenue, El Paso, TX 79905, United States. firstname.lastname@example.org
Received: December 31, 2020
Peer-review started: December 31, 2020
First decision: January 17, 2021
Revised: January 22, 2021
Accepted: March 13, 2021
Article in press: March 13, 2021
Published online: April 7, 2021