The accuracy of endoscopy is steadily increasing. Thanks to high-definition imagingsensors, colonoscopies are able to detect minute lesions, thereby helping to ensure early detection. However, as endoscopists are responsible for image interpretation and diagnosis, missed lesions remain unavoidable. AI-based diagnostic imaging systems aim to address this issue. Trained on 250,000 images of lesions from approximately 12,000 cases, the AI system performed automated analysis in real-time. However, a persistent limitation is that AI system cannot detect lesions that are also missed by humans. Therefore, further evolution of such AI system is demanding.