… Endoscopic AI research has shown the incredible potential CAD has in diagnostic medicine
as a whole and endoscopy in particular. Concepts such as computer vision biopsies may be …

… Endoscopy diagnosis is subjective, operator dependent, and varies widely with experience
[4], reducing the detection rate of EGC and precursor lesions [5]. There is an urgent need to …

… CAD for white-light endoscopy has not been the hottest … endoscopic modality, because
white-light endoscopy is considered to have limitation in its accuracy of optical diagnosis of …

… diagnostic accuracies may reflect a different “cultural” approach to diagnostic upper GI
endoscopy… are used to performing upper GI endoscopy in a more thorough and meticulous way […

… of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients
with … We developed an artificial intelligence system with deep learning that can automatically …

… Neoplasm images were selected based on pathologic results, and other non-neoplasm
images were selected based on the endoscopic diagnosis. For internal testing dataset 2, …

… is extensively used in endoscopic lesion detection [5]. Computer-aided diagnosis (CAD)
based on artificial intelligence (AI) in gastroenterology endoscopy has made great progress in …

… The future for AI in our world of GI endoscopy looks very promising indeed. Within the next
5 years, we believe AI systems for endoscopic diagnostic support will become widely clinically …

… Their computer-based system was in 100% agreement with endoscopic diagnosis by the
endoscopist for type I and II pit patterns, and for type IIIL and IV, it was able to diagnose in 96.6 …

… This review delves into the transformative role of AI in enhancing endoscopic diagnostic
accuracy, particularly highlighting its utility in the early detection and personalized treatment of …