Computer-aided polyp characterization in colonoscopy: sufficient performance or not?

Autor:	Natalie Halvorsen, Yuichi Mori
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	artificial intelligence colonoscopy computer-assisted diagnosis Internal medicine RC31-1245 Diseases of the digestive system. Gastroenterology RC799-869
Zdroj:	Clinical Endoscopy, Vol 57, Iss 1, Pp 18-23 (2024)
Druh dokumentu:	article
ISSN:	2234-2400 2234-2443
DOI:	10.5946/ce.2023.092
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/7f616e1c4b2f4980abde094f493f8d14 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF