[ad_1] The process relied on a convolutional neural network that pored over 4,396 CT scans. That’s a comparatively small number of samples, but the abnormalities were detailed “at the pixel level,” according to UCSF. In other words, they were far less likely to misinterpret noise and other errors as hemorrhages. The technique also had the […]