… pooled analysis of randomized trials of colonoscopy with or without AI tools aimed at improving
polyp … system: first validation study versus experienced endoscopists for colorectal polyp …

… Artificial intelligence (AI) has made considerable progress in image recognition, especially
in the analysis of endoscopic images. The availability of large-scale annotated datasets has …

… In this review, we describe the history of AI in colonic polyp detection, recent research,
and … , and non-polyp lesions that share characteristics with a polyp (eg, stool or “suction …

… were used for the purpose of this analysis. … analysis, we also assessed the implications of
CADx-assisted diagnosis for the 2 main clinical strategies based on optical diagnosis of polyps …

… , artificial intelligence may overcome both of these pitfalls in detection and characterization.
… (CADx) of colorectal polyps. CADx was trained to differentiate between adenomatous a and …

… : Artificial Intelligence (AI) is one of the most evolving fields in endoscopy. We aimed to test if
a system for polyp detection and polyp characterization can … strategy for colorectal polyps is …

… The critical point of the artificial intelligence (AI) analysis is to correctly identify the
diminutive non-neoplastic lesions. To fulfill this requirement, an eligible number of diminutive …

… colonoscopy polyp encounter videos, during routine clinical care, where two expert endoscopists
identified subtle visual cues of polyps in ‘… For the purposes of this analysis, a total of 80 …

… role of artificial intelligence (AI) in the characterization of colorectal polyps. Recently, a … ,
we noted that the NPV for CADx for diminutive polyps in the colon was 80% on WL and 90.9% …

… by automatically detecting and classifying colorectal polyps [11]. Probably the most important
limitation for the application of DL to medical image analysis and colonoscopic videos and …