Medical artificial intelligence breaks a little too easily. Although AI promises to improve healthcare by quickly analysing medical scans, there is increasing evidence that it trips up on seemingly innocuous changes. Sam Finlayson at Harvard Medical School and his colleagues fooled three AIs designed for scanning medical images into misclassifying them by simply altering a few pixels. In one example, the team ever so slightly altered a picture of a mole that was first classified as benign with 99 per cent confidence. The AI then classified the altered image as malignant with 100 per cent confidence, despite the two images being indistinguishable to the human eye.
Mar-22-2019, 18:13:06 GMT