… real-world impact of AI-decision support software on acute stroke management is in line with
… of care [12, 13]. We noted a significant increase in thrombolysis rates and a trend towards …

… real-world impact of AI-decision support software on acute stroke management is in line with
… of care [12, 13]. We noted a significant increase in thrombolysis rates and a trend towards …

… This retrospective cohort study aimed to evaluate the impact of deploying e-Stroke AI
decision support software in the hyperacute stroke pathway on process metrics and patient …

… A 10-year trend analysis revealed a significant increase in AI literature in stroke care. …
Therefore, any improvement in stroke care that decreases the time to treatment would provide huge …

… improve stroke detection, they improve detection, accuracy, accessibility, and personalized
treatment for … how AI systems can improve stroke management and deliver the best patient …

… is detected using computed tomography angiography (CTA), and as stroke services develop,
more CTA will be performed to identify LVO for potential MT candidates. The increased …

… reduce the time to diagnosis and improve clinical outcomes. However, they … improved
primary endpoints compared to standard care, very few show clinically relevant improvement. …

… compare health professionals’ AI decision support with standard care (usual care). Our work
… Our review ultimately aims to enhance the understanding of AI's role in healthcare, ensuring …

… This study revealed a significantly increased median time from stroke onset to revascularization
for direct versus transfer patients receiving imaging prior to MT at an endovascular-…

… that integrated clinical data with environmental or social factors to improve care delivery. …
automated analysis of CT angiography at a primary stroke centre in Hungary. Use of AI over a 7-…