Breast cancer diagnosis improves with help from artificial intelligence

A newly developed artificial intelligence system is showing promise as a way to help pathologists improve diagnosis of breast cancer from images. In a test at a scientific meeting, it boosted human accuracy from 96 to 99.5 percent. Peering into the microscope to sift through millions of cells to spot just a few cancerous ones can be very labor-intensive with conventional methods. The new AI system is able to tackle this task quite well, the researchers found. The artificial intelligence (AI) system is “based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition,” explains Andrew Beck, an associate professor in pathology at Harvard Medical School, who heads the team developing the new system at Beth Israel Deaconess Medical Center (BIDMC), in…


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