AI twice as accurate at pinpointing stroke time than current methods – study

Sign up for our free Health Check email to receive exclusive analysis on the week in health Get our free Health Check email Get our free Health Check email SIGN UP I would like to be emailed about offers, events and updates from The Independent. Read our privacy policy Artificial intelligence could be twice as accurate as current methods at pinpointing the time a stroke took place, which could help medics make emergency decisions about care, according to a study. Having this information at their fingertips will help doctors to make emergency decisions about what treatments should be undertaken in stroke patients Dr Paul Bentley The algorithm was created by researchers at Imperial College London, Technical University of Munich and Edinburgh University. We estimate that up to 50% more stroke patients could be treated appropriately with treatments because of our method Dr Adam Marcus Dr Paul Bentley, of Imperial’s Department of Brain Sciences, and a consultant neurologist at Imperial College Healthcare NHS Trust, led the study which is published in NPJ Digital Medicine. “Not only is our software twice as accurate at time reading as current best practice, but it can be fully automated once a stroke becomes visible on a scan.” Lead author Dr Adam Marcus added: “We estimate that up to 50% more stroke patients could be treated appropriately with treatments because of our method.