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

Key Points

• To evaluate how AI-assisted imaging can enhance transfer decisions for mechanical thrombectomy in low-volume primary stroke centers.
• Conducted a multicenter retrospective study across various low-volume primary stroke centers.
• Evaluated AI-assisted imaging tools for their effectiveness in transfer decision-making.
• Analyzed workflow efficiency related to transfer of patients for mechanical thrombectomy.
• AI significantly improved transfer decisions in low-volume centers.
• The adoption of AI enhanced workflow efficiency for stroke treatment.
• Broader use of AI tools may improve eligibility assessments for mechanical thrombectomy.