Artificial intelligence (AI) has been used extensively in gastroenterology for polyp detection and is now expanding into the inflammatory bowel disease (IBD) space. AI encompasses several different technologies that can engage text, images and other data, with initial use cases aiming to reproduce expert opinion with the benefits of automation. AI has been applied to analyze IBD clinical imaging such as endoscopy, CT and MRI, as well as histologic imaging, with remarkable results. AI is emerging as a valuable tool in IBD diagnosis and management, with the potential to analyze biological data through large-volume input for machine-learning models.
