Implementation of AI in Barrett’s surveillance endoscopy: current status, challenges and the road ahead

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Authors: Florance Slooter, Jeroen de Groof
Cited by: 0
References: 52

Abstract

Endoscopic surveillance for Barrett’s neoplasia is performed to detect neoplasia at an early stage, when minimally invasive therapy can still achieve curative outcomes. Endoscopic detection of subtle, early neoplasia is, however, challenging. Artificial intelligence (AI) offers a potential solution by providing real-time detection and characterisation of neoplastic Barrett’s lesions, independent of operator experience. This review provides a comprehensive overview of the current status, challenges and future directions for AI implementation in Barrett’s surveillance endoscopy.

Fields of Study & Subjects

AI in cancer detection Esophageal Cancer Research and Treatment Colorectal Cancer Screening and Detection

Publication details

Journal / source
Frontline Gastroenterology
Pages
flgastro–2025
Publication date
17 February 2026
Language
EN