This review highlights the potential of AI to enhance early detection of neoplasia in Barrett’s endoscopy, suggesting new solutions to existing challenges.
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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Slooter et al. (2026) studied this question.
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