Implications of artificial intelligence in inflammatory bowel disease: Diagnosis, prognosis and treatment follow up

Table 1 Artificial intelligence implications in the interpretation of radiography in inflammatory bowel disease patients

Ref.	Purpose	AI/DL model	Design	Result
Stidham et al[11], 2020	To identify structural bowel damage in IBD patients using AI-guided CT image analysis	semi-automated	Retrospective	Structural bowel damage measurements collected by semi-automated approaches are comparable to those of experienced radiologists
Mahapatra et al[13], 2016	To evaluate and compare semi-automated to fully automated models in identifying affected bowel segments in MRI of IBD patients	Semi-automated	Retrospective	Semi-automated model outperformed the fully automated model in the ability to segment the affected bowel regions in CD patients using MRI data with less required training time, training samples and expert effort

IBD: Inflammatory bowel disease; AI: Artificial intelligence; DL: Deep learning; CD: Crohn’s Disease; CT: Computed tomography; MRI: Magnetic resonance imaging.