New artificial intelligence system detects small brain hemorrhages better than radiologists – My PC-PolyClinic

Researchers in the US developed a new artificial intelligence algorithm, which manages better than experienced radiologists in detecting small cerebral bleeding. This development is expected to help physicians in the future to diagnose and better treat patients with head injuries, strokes and aneurysms. The new system can relieve radiologists from a heavy workload, as artificial intelligence technology will first distinguish imaging tests with abnormal findings and then doctors will examine them more carefully. The physicians and computer engineers of the Universities of California-San Francisco and California-Berkeley, headed by Assistant Professor of Radiology Esther Yach, published this in the journal of the US National Academy of Sciences (PNAS). The algorithm -a fully co-revolutionary neural network trained in 4,400 pre-existing tomographs- takes only one second to judge if there is any bleeding in the entire head.