New artificial intelligence can detect colorectal cancer in less than a second, researchers say

Japanese researchers created a system that could detect and assess colorectal polyps in less than a second. Japanese researchers demonstrated an artificial intelligence capable of identifying and analyzing polyps found during a colonoscopy in less than a second. The computer-assisted diagnostic system was revealed during the United European Gastroenterology Week, running through Wednesday in Barcelona, Spain. The endoscopic system uses a magnified view of a colorectal polyp to study its features and compare it with 30,000 endocytoscopic images used for machine learning. Researchers said they were able to predict the pathology of the polyp in less than a second, with 86% accuracy, based on a study assessing more than 300 polyps. "The most remarkable breakthrough with this system is that artificial intelligence enables real-time optical biopsy of colorectal polyps during colonoscopy, regardless of the endoscopists' skill," said Dr. Yuichi Mori, a researcher from Showa University in Yokohama, Japan and study lead, in a statement.