… endoscopists. In this study, we assessed the role of AI in training junior endoscopists in
predicting histology of endoscopic … comparable to that of experts but did not exceed it [20] [21]. …

… of expert endoscopists (94.2% vs 94.5%) but superior to that of competent (85.8%) and trainee
(72.2%) endoscopists. … increased significantly to 98.4% for experts, 97.8% for competents, …

… Artificial intelligence (AI) in gastrointestinal endoscopy includes systems designed to …
promising solution to human biases and may provide support during diagnostic endoscopy. …

… First, we defined the manual delineation of early ESCC under WLI marked by expert
endoscopists as the gold standard for evaluation of detection and delineation performance. For …

… 4 expert endoscopists (those regularly carrying out IBD surveillance including the … -expert
endoscopists were asked to review the edited videos for the presence of lesions. Non-experts …

… All regions of angioectasia in the training set were annotated manually by expert endoscopists
with rectangular bounding boxes. These images were put into SSD architecture through a …

… Two expert endoscopists retrospectively annotated the presence of polyps in each frame of
each video, and this annotation was treated as the gold standard for the presence of polyps. …

… diagnostic performance according to the level of endoscopist expertise) were treated as
secondary in our study design. There was no need to adjust for multiplicity, as findings for …

… endoscopist’s experience, where the complexity of verification is higher for non-expert
endoscopists than for experts… may be synergistic for both expert and non-expert endoscopists[46]. …

… In this study, we compared the diagnostic performance of the AI system with that of experts
and non-experts. The accuracy of the endoscopists for the five-category classification in this …