Development of an Endoscopic Diagnosis Assistance System Using Artificial Intelligence Technology

Abstract

This paper introduces the development of an endoscopic diagnosis assistance system using artificial intelligence technology, which has received JAMIT Technological Achievement Award. This system detects colonic polyp from colonoscopic video in real-time and performs pathological classification of a detected colonic polyp. This system implements the following function: (1) colonic polyp finding assistance, (2) colonic polyp classification into neoplastic or non-neoplastic categories, and (3) detailed classification of neoplastic polyps. Especially the EndoBrain system, which has the function of classifying colonic polyps into neoplastic and neo-plastic categories based on ultra-magnified endoscopic images, is the first medical device using AI/ML technology obtained a medical device certificate under governmental regulation. This paper shows an overview of AI-based assistance systems for colonoscopy and perspectives on this field.