Artificial Intelligence in Inflammatory Bowel Disease

Abstract

Artificial intelligence (AI) is being increasingly studied and implemented in gastroenterology. In inflammatory bowel disease (IBD), numerous AI models are being developed to assist with IBD diagnosis, standardization of endoscopic and radiologic disease activity, and predicting outcomes. Further prospective, multicenter studies representing diverse populations and novel applications are needed prior to routine implementation in clinical practice and expected improved outcomes for clinicians and patients.

Keywords: Artificial intelligence; Crohn’s disease; Deep learning; Inflammatory bowel disease; Machine learning; Neural network; Radiomics; Ulcerative colitis.