Published online Jul 28, 2020. doi: 10.35712/aig.v1.i1.1
Peer-review started: July 1, 2020
First decision: July 15, 2020
Revised: July 18, 2020
Accepted: July 21, 2020
Article in press: July 21, 2020
Published online: July 28, 2020
Core tip: Histology in celiac disease (CD) diagnosis is hampered by several pitfalls, from low adherence to biopsy sampling recommendations and reporting of results to significant inter-observer variability. A quantitative, computer-assisted histological assessment of mucosal biopsies could overcome many of the current limitations of conventional histology. We herein discuss the current evidence on artificial intelligence-based histology in CD diagnosis and its role in improving histological measurements in CD.