Research in artificial intelligence(AI)in gastroenterology has increased over the last decade.Colonoscopy represents the most widely published field with regards to its use in gastroenterology.Most studies to date center on polyp detection and characterization,as well as real-time evaluation of adequacy of mucosal exposure for inspection.This review article discusses how advances in AI has bridged certain gaps in colonoscopy.In addition,the gaps formed with the development of AI that currently prevent its routine use in colonoscopy will be explored.
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