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©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastrointest Endosc. Apr 28, 2022; 3(2): 9-15
Published online Apr 28, 2022. doi: 10.37126/aige.v3.i2.9
Published online Apr 28, 2022. doi: 10.37126/aige.v3.i2.9
Artificial intelligence in the endoscopic approach of biliary tract diseases: A current review
Fábio Pereira Correia, Luís Carvalho Lourenço, Department of Gastroenterology, Hospital Prof. Dr Fernando Fonseca, Amadora 2720-276, Portugal
Luís Carvalho Lourenço, Gastroenterology Center, Hospital Cuf Tejo - Nova Medical School/Faculdade de Ciências Médicas da Universidade Nova de Lisboa, Lisbon 1350-352, Portugal
Author contributions: All authors contributed equally to this work, and have read and approved the final manuscript.
Conflict-of-interest statement: The authors declare that they have no conflicting interests.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Luís Carvalho Lourenço, MD, Attending Doctor, Department of Gastroenterology, Hospital Prof. Dr Fernando Fonseca, IC19, Amadora 2720-276, Portugal. luisclourenco@gmail.com
Received: January 16, 2022
Peer-review started: January 16, 2022
First decision: March 8, 2022
Revised: March 22, 2022
Accepted: April 20, 2022
Article in press: April 20, 2022
Published online: April 28, 2022
Peer-review started: January 16, 2022
First decision: March 8, 2022
Revised: March 22, 2022
Accepted: April 20, 2022
Article in press: April 20, 2022
Published online: April 28, 2022
Core Tip
Core Tip: In recent times, artificial intelligence has played an increasing role in Gastroenterology. There have been numerous studies that show the potential of this technology in clinical practice. Despite this, evidence of the application of these systems in the investigation and treatment of biliary diseases is still scarce. The complexity and challenge that may underlie these processes make this symbiosis very promising. We reviewed the state of the art regarding the application of artificial intelligence in biliary pathology.