… In addition, the same system showed sensitivity rates for detecting gastric neoplasia and
diagnosing early gastric cancers (EGCs) of 87.81% and 100%, respectively, significantly higher …

… With AI’s efficient computational power and learning capacities, endoscopists can improve
their diagnostic accuracies and avoid the missing or mischaracterization of gastric neoplastic …

… the diagnosis of early gastric cancer. Bergholt et al[20] first combined the real-time Raman
endoscopy with AI-based algorithms to distinguish neoplastic and normal gastric tissues. Later…

… Results of initial endoscopic biopsy of gastric lesions often differ from those of the final
pathological diagnosis. We evaluated whether an artificial intelligence-based gastric lesion …

… early gastric … gastric cancer diagnostic program based on AI showed relatively high diagnostic
accuracy and could differentially diagnose non-neoplastic lesions including benign gastric …

… The subtle endoscopic appearance of early gastric neoplasia arguably presents a greater
… Although initial results have been promising, most AI research for early gastric neoplasia …

… gastric conditions, peptic ulcer, EGC, and high-grade intraepithelial neoplasia (HGIN), AGC,
gastric … Use of artificial intelligence for detection of gastric lesions by magnetically controlled …

… We performed a meta-analysis to determine the diagnostic accuracy of AI on detection of
gastric and esophageal neoplastic lesions and Helicobacter pylori (HP) status. …

… Eligible papers were identified from PubMed and IEEE up to April 13, 2022, using the
terms “artificial intelligence” and “gastric cancer”. The filtering criteria are shown in Figure 1, …

… We have developed an AI image classifier for characterization of gastric neoplastic lesions
that is based on non-optical magnified endoscopic images obtained by NBI. The trained AI …