Artificial intelligence in gastroenterology: A state-of-the-art review
Paul T. Kröner, Megan Engels, Benjamin S. Glicksberg, Kipp W. Johnson, Obaie Mzaik, Jeanin E. van Hooft, Michael B. Wallace, Hashem B. El‐Serag, Chayakrit Krittanawong
Abstract
, determining survival in patients post-resection of hepatocellular carcinoma), determining which patients with inflammatory bowel disease (IBD) will benefit from biologic therapy], or evaluation of metrics such as bowel preparation score or quality of endoscopic examination. The objective of this comprehensive review is to analyze the available AI-related studies pertaining to the entirety of the gastrointestinal tract, including the upper, middle and lower tracts; IBD; the hepatobiliary system; and the pancreas, discussing the findings and clinical applications, as well as outlining the current limitations and future directions in this field.