Advancement of artificial intelligence systems for surveillance endoscopy of Barrett's esophagus

M R Jong; A J de Groof

doi:10.1016/j.dld.2023.11.038

Advancement of artificial intelligence systems for surveillance endoscopy of Barrett's esophagus

Dig Liver Dis. 2023 Dec 8:S1590-8658(23)01077-0. doi: 10.1016/j.dld.2023.11.038. Online ahead of print.

Authors

M R Jong¹, A J de Groof²

Affiliations

¹ Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
² Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands. Electronic address: a.j.degroof@amsterdamumc.nl.

PMID: 38071181
DOI: 10.1016/j.dld.2023.11.038

Abstract

Barrett's esophagus (BE) is a precursor disease for esophageal adenocarcinoma. Timely detection and treatment has significant influence on patient outcomes. Over the last years, several artificial intelligence (AI) systems have emerged to assist the endoscopist. The primary focus of research has been computer aided detection (CADe). Several groups have succeeded in developing competitive models for neoplasia detection. Additionally, computer aided diagnosis (CADx) models have been developed for subsequent lesion characterization and assistance in clinical decision making. Future studies should focus on bridging the domain gap between academic development and integration in daily practice.

Keywords: Artificial intelligence; Barrett's esophagus; Computer aided detection.