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Artificial intelligence-based software to support mechanical thrombectomy transfer decision in low-volume primary stroke centers: a multicenter, retrospective study
0
Zitationen
8
Autoren
2026
Jahr
Abstract
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.
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