Artificial intelligence for pancreatic cancer detection: Recent development and future direction
Passisd Laoveeravat, Moamen M Gabr, Division of Digestive Diseases and Nutrition, University of Kentucky College of Medicine, Lexington, KY 40536, United States
Priya R Abhyankar, Aaron R Brenner, Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY 40536, United States
Fadlallah G Habr, Amporn Atsawarungruangkit, Division of Gastroenterology, Warren Alpert Medical School of Brown University, Providence, RI 02903, United States
Author contributions: Laoveeravat P, Abhyankar PR, and Brenner AR equally contributed to this paper with conception and design of the study, literature review and analysis, drafting the manuscript; Gabr MM, Habr FG, and Atsawarungruangkit A provided critical revision, editing, and final approval of the final version.
Conflict-of-interest statement: No conflict of interest exists.
: 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: Amporn Atsawarungruangkit, MD, Academic Fellow, Instructor, Research Fellow, Division of Gastroenterology, Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI 02903, United States. firstname.lastname@example.org
Received: January 26, 2021
Peer-review started: January 26, 2021
First decision: February 27, 2021
Revised: March 31, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: April 28, 2021