Introduction: To assess the potential benefit of artificial intelligence (AI) based imaging software in supporting mechanical thrombectomy (MT) transfer decisions in patients with acute ischemic stroke (AIS) referred from low-volume primary stroke centers (PSCs).
Conclusions: 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.
