Researchers at the Showa University in Yokohama, Japan, have developed an artificial intelligence capable of identifying and diagnosing bowel cancer in seconds by using magnified endoscopic images. The new system, called “Endoscope,” is based on a technique known as deep learning, which uses machine learning to learn from data without being explicitly programmed. The system is currently awaiting regulatory approval.
Researchers at the Showa University in Yokohama, Japan, have developed an artificial intelligence capable of identifying and diagnosing bowel cancer in seconds by using magnified endoscopic images. In tests to determine the level of malignancy of each tumour, the software achieved a 94% accuracy rate, and study leader Dr Yuichi Mori believes it could help prevent unnecessary surgery. The system is currently awaiting regulatory approval.