The potential for artificial intelligence to transform health care is huge, but there's a big catch. AI algorithms will need vast amounts of medical data on which to train before machine learning can deliver powerful new ways to spot and understand the cause of disease. That means imagery, genomic information, or electronic health records--all potentially very sensitive information. That's why researchers are working on ways to let AI learn from large amounts of medical data while making it very hard for that data to leak. One promising approach is now getting its first big test at Stanford Medical School in California.
May-21-2019, 04:31:08 GMT