학술논문
False negative rate of OMOM's artificial intelligence model for small bowel capsule endoscopy (Smart Scan) in a real-world setting.
Document Type
Article
Author
Source
Subject
*CAPSULE endoscopy
*SMALL intestine
*ARTIFICIAL intelligence
*CROHN'S disease
*IRON deficiency anemia
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Language
ISSN
0013-726X
Abstract
This article evaluates the false negative rate of OMOM's artificial intelligence model (SmartScan) for small bowel capsule endoscopy (SBCE) using real-world data. The study included 211 patients who underwent SBCE with OMOM's capsule endoscopy system. The main outcomes were the false negative rate and predictors of missed findings by the artificial intelligence model. The overall false negative rate was 11.9%, with erosions and aphtha being the most commonly missed lesions. The study concludes that while SmartScan is not perfect, it is an excellent tool for pre-reading and in urgent settings, but caution is needed in reviewing sections where the capsule endoscopy travels at a higher speed. [Extracted from the article]