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AI for Stroke: What the Data Show

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A large prospective observational study revealed that the implementation of artificial intelligence (AI) imaging software in hospitals significantly increased the rates of endovascular thrombectomy for acute stroke patients within England's NHS. The study, analyzing data from 107 hospitals between January 2019 and December 2023, showed a doubling of thrombectomy rates from 2% to 5% at evaluation sites following AI implementation. AI support also led to shorter interhospital transfer times, enhancing patient outcomes, particularly at primary stroke centers where neuroradiology expertise is restricted.

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