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Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia

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초록

Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucialto improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during routine endoscopyare challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed toprovide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we reviewthe current role of artificial intelligence in the management of Barrett’s esophagus and elaborate on potential artificial intelligence inthe future.

Abstract

Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucialto improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during routine endoscopyare challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed toprovide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we reviewthe current role of artificial intelligence in the management of Barrett’s esophagus and elaborate on potential artificial intelligence inthe future.

참고문헌 (42)

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