Mankoo R, Ali AH, Hammoud GM. Use of artificial intelligence in endoscopic ultrasound evaluation of pancreatic pathologies. Artif Intell Gastrointest Endosc 2021; 2(3): 89-94 [DOI: 10.37126/aige.v2.i3.89]
Corresponding Author of This Article
Ghassan M Hammoud, MD, MPH, Professor, Division of Gastroenterology and Hepatology, University of Missouri School of Medicine, One hospital Dr, Columbia, MO 65212, United States. hammoudg@health.missouri.edu
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Artif Intell Gastrointest Endosc. Jun 28, 2021; 2(3): 89-94 Published online Jun 28, 2021. doi: 10.37126/aige.v2.i3.89
Use of artificial intelligence in endoscopic ultrasound evaluation of pancreatic pathologies
Ravinder Mankoo, Ahmad H Ali, Ghassan M Hammoud
Ravinder Mankoo, Ahmad H Ali, Ghassan M Hammoud, Division of Gastroenterology and Hepatology, University of Missouri School of Medicine, Columbia, MO 65212, United States
Author contributions: Mankoo R performed the majority of the writing, gathered and reviewed references and prepared the figure; Ali AH performed writing and revision of the manuscript; Hammoud GM performed writing, reviewed references and performed a final revision of the manuscript.
Conflict-of-interest statement: There is no conflict of interest associated with any of the authors of this manuscript.
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: Ghassan M Hammoud, MD, MPH, Professor, Division of Gastroenterology and Hepatology, University of Missouri School of Medicine, One hospital Dr, Columbia, MO 65212, United States. hammoudg@health.missouri.edu
Received: June 2, 2021 Peer-review started: June 2, 2021 First decision: June 18, 2021 Revised: June 20, 2021 Accepted: June 28, 2021 Article in press: June 28, 2021 Published online: June 28, 2021 Processing time: 33 Days and 18.6 Hours
Abstract
The application of artificial intelligence (AI) using deep learning and machine learning approaches in modern medicine is rapidly expanding. Within the field of Gastroenterology, AI is being evaluated across a breadth of clinical and diagnostic applications including identification of pathology, differentiation of disease processes, and even automated procedure report generation. Many pancreatic pathologies can have overlapping features creating a diagnostic dilemma that provides a window for AI-assisted improvement in current evaluation and diagnosis, particularly using endoscopic ultrasound. This topic highlight will review the basics of AI, history of AI in gastrointestinal endoscopy, and prospects for AI in the evaluation of autoimmune pancreatitis, pancreatic ductal adenocarcinoma, chronic pancreatitis and intraductal papillary mucinous neoplasm.
Core Tip: Artificial intelligence is an emerging diagnostic tool that may further aid clinicians in the current evaluation of diseases of the pancreas.
