… of endoscopists; GRAIDS achieved a diagnostic sensitivity similar to the expert endoscopists
(… superior sensitivity compared with competent (85.8%) and trainee (72.2%) endoscopists. …

… experts only. Therefore, a decision-supporting tool is required for non-expert endoscopists
… texture, color filters, and machine learning for conventional endoscopic images. The authors …

… Two researches for CADx to assist the diagnosis for gastric lesions with ME achieved the
excellent diagnostic performance equivalent or superior to expert endoscopists. …

… by AI and expert endoscopists on even one gastric cancer endoscopic image was … expert
endoscopist-drawn bounding boxes, and the gold-standard boxes in gastric cancer endoscopic …

… images was conducted by endoscopists with long expertise in the diagnosis of esophageal
SCC, and marking of images was double-checked by other endoscopists. We assumed that …

… expert and non-expert endoscopists. Electronic searches were supplemented by manual
searches of references of included studies. Complete search strategy and search strings used …

… -based systems have been developed to analyze endoscopic … artificial intelligence-based
system that analyzes endoscopic … 10 expert endoscopists and 20 nonexpert endoscopists. The …

… of artificial intelligence (… Machine learning creates a simple endoscopic classification system
that improves dysplasia detection in Barrett’s oesophagus amongst non-expert endoscopists…

… pylori infection has been reported to be low for non-expert endoscopists, and they require …
For non-expert endoscopists, it is often difficult to detect early gastric cancers (EGC) due to the …

… machine learning and more recently deep learning, are beginning to emerge in gastrointestinal
endoscopy… accuracy even when compared to expert human endoscopists. AI has also …