Artificial intelligence for gastric cancer: can we make further progress?

In this issue of Endoscopy, Wu et al. report on a real-time artificial intelligence (AI) system that detects early gastric cancer (EGC) and blind spots (areas that were not observed) [1]. The authors first developed a novel system using a deep convolutional neural network to analyze esophagogastroduodenoscopy images of EGC [2]. Thereafter, they refined the existing system by integrating the trained real-time EGC detection model, and called the system ENDOANGEL. ENDOANGEL improved the quality of endoscopic examinations by monitoring blind spots in real time.