Open AccessArtificial intelligence in gastrointestinal endoscopy: evolution to a new era
Author(s) -
Oswaldo Ortiz Zúñiga,
María Glòria Fernández Esparrach,
María Daca,
María Pellisé
Publication year - 2022
Publication title -
revista española de enfermedades digestivas/revista española de enfermedades digestivas
Language(s) - English
Resource type - Journals
eISSN - 2340-4167
pISSN - 1130-0108
DOI - 10.17235/reed.2022.8961/2022
Subject(s) - medicine , endoscopy , scope (computer science) , colonoscopy , upper gastrointestinal endoscopy , artificial intelligence , radiology , computer science , colorectal cancer , cancer , programming language
Artificial intelligence (AI) systems based on machine learning have evolved in the last few years with an increasing applicability in gastrointestinal endoscopy. Thanks to AI, an image (input) can be transformed into a clinical decision (output). Although AI systems have been initially studied to improve detection (CADe) and characterization of colorectal lesions (CADx), other indications are being currently investigated as detection of blind spots, scope guidance, or delineation/measurement of lesions. The objective of these review is to summarize the current evidence on applicability of AI systems in gastrointestinal endoscopy, highlight strengths and limitations of the technology and review regulatory and ethical aspects for its general implementation in gastrointestinal endoscopy.