Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett’s esophagus and elaborate on potential artificial intelligence in the future.
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Artificial intelligence in functional gastrointestinal disorders: From precision diagnosis to preventive healthcare Yi-Nan Yan, Jing-Qi Zeng, Xia Ding Artificial Intelligence in Gastroenterology.2026;[Epub] CrossRef
Update on the management of Barrett’s neoplasia Sharmila Subramaniam, Elisabetta Mastrorocco, Mohan Ramchandani, Pradeep Bhandari Frontline Gastroenterology.2026; 17(e1): e23. CrossRef
Evaluating ChatGPT‐5 for Detection of Barrett's Esophagus and Grading of Esophagitis: A Multiclass Endoscopic Image Analysis Hamza R. Khan, Ibraheem Mirza, Owais M. Aftab, Yash Shah, Ahmed H. Al‐Khazraji JGH Open.2026;[Epub] CrossRef
Artificial intelligence for computer assistance in endoscopic procedures and training Pablo Achurra, Domingo Mery, Arnoldo Riquelme, Chaya Shwaartz Global Surgical Education - Journal of the Association for Surgical Education.2025;[Epub] CrossRef
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Endoskopische Therapie von Barrett-Neoplasien und Magenfrühkarzinomen Florian Berreth, Jan Peveling-Oberhag, Jörg G. Albert best practice onkologie.2024; 19(1-2): 28. CrossRef
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