An artificial intelligence program that scans thousands of human body cells was able to predict – with 86 percent accuracy – which would become cancerous. The Yokohama, Japan AI study was able to detect colorectal cancer before benign tumors were able to become malignant. The program took microscopic images of a colorectal polyp, magnified it by 500 times and then cross-referenced the variations with more than 30,000 images. The database of images contained both pre-cancerous and cancerous cells, and was the first cross-referencing image research of its kind, Inverse first reported. The AI-assisted system pulled off an impressive 86 percent prediction accuracy rate that was derived after assessing patients with a colorectal polyp diagnosis.