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Copyright ©The Author(s) 2021.
Artif Intell Gastroenterol. Jun 28, 2021; 2(3): 85-93
Published online Jun 28, 2021. doi: 10.35712/aig.v2.i3.85
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], 2020To identify structural bowel damage in IBD patients using AI-guided CT image analysissemi-automatedRetrospective Structural bowel damage measurements collected by semi-automated approaches are comparable to those of experienced radiologists
Mahapatra et al[13], 2016To evaluate and compare semi-automated to fully automated models in identifying affected bowel segments in MRI of IBD patientsSemi-automatedRetrospective 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