In 2016, Level 1a evidence established that mechanical thrombectomy is a highly effective treatment for acute ischemic stroke within the first six hours, with better outcomes achieved through earlier reperfusion. However, access to thrombectomy within this critical time window is disproportionately influenced by geographical location, as significant delays often occur during diagnosis at local hospitals and transfer to specialist neuroscience centers. To address this challenge, our team is developing tele-operated robotic systems for thrombectomy. Introducing autonomy during navigation may enhance the safety and efficiency of these robots. Tele-operated, AI-driven thrombectomy systems strategically deployed across multiple geographic locations could significantly improve clinical outcomes and reduce disparities in stroke care. The aim of this project is to build and validate optimal AI-driven thrombectomy robots in vitro to ensure safer and more effective controller-responder navigation.
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Building autonomous mechanical thrombectomy robots to assist doctors
