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

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.

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Publication Details

Journal
Frontline Gastroenterology
Published
2026-02-17
DOI
https://doi.org/10.1136/flgastro-2025-103240
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Jeroen de Groof, Florance Slooter
Frontline Gastroenterology
Esophageal Cancer Research and Treatment
article

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

Jeroen de Groof, Florance Slooter
article en

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.

Frontline Gastroenterology
Amsterdam University Medical Centers (NL)
Openalex Percentile: Top 53%
Esophageal Cancer Research and Treatment
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