Deep Learning Detects Brain Hemorrhages

There’s a maxim in stroke treatment: “time is brain.” It’s a reminder that during a stroke, human nervous tissue is lost at an alarming rate. From the onset of a brain injury and the start of medical treatment, every moment matters. Researchers at UC Berkeley and UCSF School of Medicine are working on a deep learning model to reduce the time it takes to diagnose intracranial hemorrhage (bleeding in the skull) on a CT scan. With more than 80 million CT scans performed annually in the United States alone, AI could increase radiologists’ efficiency amidst an overwhelming volume of images.