Artificial intelligence-based software to support mechanical thrombectomy transfer decision in low-volume primary stroke centers: a multicenter, retrospective study

Artificial intelligence-assisted imaging may significantly improve transfer decisions and workflow efficiency in low-volume PSCs, particularly in settings without real-time radiological interpretation. Its broader adoption may strengthen MT eligibility assessment within regional stroke networks.