Yuichi Mori and Showa University colleagues haved used AI to identify bowel cancer by analyzing colonoscopy derived polyps in less than a second.
The system compares a magnified view of a colorectal polyp with 30,000 endocytoscopic images. The researchers claimed 86% accuracy, based on a study of 300 polyps.
While further testing the technology, Mori said that the team will focus on creating a system that can automatically detect polyps.
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