AI designed to distinguish between types of pastries identifies cancer cells with 99% accuracy

Artificial intelligence designed to recognize different type of pastries could be a vital tool in the medical world. BakeryScan, developed by Japan-based Brain Co., scans baked good on a tray with a camera and uploads the official name of each to a system for easy checkout at a bakery – but scientists found it can also identify cancer. A doctor from the Louise Pasteur Center for Medical Research in Kyoto had the system revised to spot cancerous cells on a microscope slide with 99 percent accuracy. Instead of investigating doughnut holes and bread ridges, the redesigned system, called Cyto-AisCAN, analyzes a urinary cell to identify and measure its nucleus to determine if it is diseased. BakeryScan, developed by Japan-based Brain Co., scans baked good on a tray with a camera and uploads the official name of each to a system for easy checkout at a bakery – but scientists found it can also identify cancer.