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Artificial intelligence improves neoplasia detection in inflammatory bowel disease patients: a pilot study evaluating the added value of a novel dedicated CADe-IBD algorithm for expert and non-expert endoscopists.

Authors :
Siggens, K.
Htet, H.
Maeda, N.
Namiki, S.
Giles, B.
Shan, M.
Starbuck, P.
Aslam, S. P.
Siu, W.
Alkandari, A.
Bhandari, P.
Source :
Endoscopy; 2024 Supplement 2, Vol. 56, pS93-S93, 1p
Publication Year :
2024

Abstract

This article discusses a pilot study that evaluated the use of an artificial intelligence (AI) algorithm called CADe-IBD in improving neoplasia detection in patients with Inflammatory Bowel Disease (IBD). Neoplasia detection in IBD can be challenging due to the nature of the lesions and background inflammatory changes. The study found that the CADe-IBD algorithm had a similar or better performance compared to expert endoscopists in detecting lesions. Additionally, the algorithm significantly improved the performance of non-expert endoscopists. The authors suggest further research to compare CADe-IBD with conventional surveillance techniques. [Extracted from the article]

Details

Language :
English
ISSN :
0013726X
Volume :
56
Database :
Complementary Index
Journal :
Endoscopy
Publication Type :
Academic Journal
Accession number :
176636626
Full Text :
https://doi.org/10.1055/s-0044-1782890