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Computer-aided polyp characterization in colonoscopy: sufficient performance or not?
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Natalie Halvorsen, Yuichi Mori
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Clin Endosc 2024;57(1):18-23. Published online January 5, 2024
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DOI: https://doi.org/10.5946/ce.2023.092
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 Abstract
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- Computer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal polyps. To implement CADx tools in colonoscopy, there is a need to confirm whether these tools satisfy the threshold levels that are required to introduce optical diagnosis strategies such as “diagnose-and-leave,” “resect-and-discard” or “DISCARD-lite.” In this article, we review the available data from prospective trials regarding the effect of multiple CADx tools and discuss whether they meet these thresholds.
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Citations
Citations to this article as recorded by  - Building Machine Learning Models in Gastrointestinal Endoscopy
Giulio Antonelli, Tom Eelbode, Touka Elsaman, Mrigya Sharma, Raf Bisschops, Cesare Hassan
Gastrointestinal Endoscopy Clinics of North America.2024;[Epub] CrossRef - Cost-Effectiveness for Artificial Intelligence in Colonoscopy
Natalie Halvorsen, Yuichi Mori
Gastrointestinal Endoscopy Clinics of North America.2024;[Epub] CrossRef
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