Improving stroke care in North-Norway through Artificial Intelligence
Improving stroke care in North-Norway through Artificial Intelligence
We apply a novel AI-based image analysis tools applied to already available standard CT based imaging techniques where the overall aim is to study whether this can
a) improve acute stroke diagnostics (detection of intracranial arterial occlusion) at primary stroke centers
b) decrease time from image aquisition to initiation of transfer to the thrombetomy stroke center
c) increase the number of patients transferred to and treated by thrombectomy at the the thrombectomy center (UNN).
Specific objectives:
Chief Investigator: Agnethe Eltoft
Internal members: Jon André Totland, Tor Ingebrigtsen, Ellisiv B. Mathiesen, Linn H. Steffensen, Maria Carlsson
External collaborators: Anne Hege Aamodt (Oslo University Hospital), Karl Øyvind Mikalsen (Center for Patient Centered Artificial Intelligence (SKPI), Tromsø), Steinar Nyhus (Helse-Nord IKT), Marcus Nygård (Helse-Nord IKT), Mayank Goyal and Michael Hill (University of Calgary, Alberta, Canada), Hilde Ofte (Dept. of Neurology, Nordland Hospital Trust Bodø, Norway), Hans Kristian Bø (Dept. of Radiology, Nordland Hospital Trust Bodø, Norway), Bjørn Petter Johannessen (Dept. of Radiology, Finnmarksykehuset), Klaus Becker (Dept. of Radiology, Helgelandssykehuset)
Grant by Helse-Nord HNF1627-22