©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastroenterol. Apr 28, 2022; 3(2): 54-65
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.54
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.54
Machine learning in endoscopic ultrasonography and the pancreas: The new frontier?
Cem Simsek, Department of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, United States
Linda S Lee, Division of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, United States
Author contributions: Simsek C collected data and wrote the paper; Lee L carried out data collection; both authors read, edited, and approved the final manuscript.
Conflict-of-interest statement: Cem Simsek is co-founder of Algomedicus Inc.
Corresponding author: Linda S Lee, MD, Associate Professor, Division of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, United States. lslee@partners.org
Received: February 1, 2022
Peer-review started: February 1, 2022
First decision: February 18, 2022
Revised: March 28, 2022
Accepted: April 19, 2022
Article in press: April 19, 2022
Published online: April 28, 2022
Processing time: 87 Days and 8.9 Hours
Peer-review started: February 1, 2022
First decision: February 18, 2022
Revised: March 28, 2022
Accepted: April 19, 2022
Article in press: April 19, 2022
Published online: April 28, 2022
Processing time: 87 Days and 8.9 Hours
Core Tip
Core Tip: Several reviews in the literature have discussed the use of artificial intelligence in pancreatic disease. However, this is the first review that focuses on the application of artificial intelligence (AI) specifically to endoscopic ultrasonography (EUS) of the pancreas, including pancreatic cystic lesions, pancreatic cancer, chronic pancreatitis, and autoimmune pancreatitis, where it appears to enhance EUS diagnosis. AI may also offer real-time assistance during procedures to direct biopsy towards the highest yield areas as well augment EUS training.