AI-guided robot navigates thrombectomy route from leg to brain

Researchers at King's College London have shown for the first time that AI can autonomously perform thrombectomy navigation in a physical lab setting, a step toward expanding access to life-saving stroke treatment. For their study, now published in IEEE Robotics and Automation Letters, the team developed a robotic system that uses AI to navigate the complex pathway through blood vessels from the leg to the brain during mechanical thrombectomy (MT).

Stroke is the second-leading cause of death worldwide, and its incidence is rising. MT is a life-saving procedure that removes blood clots from large arteries in the brain during stroke. For some types of stroke, it is the most effective treatment, improving recovery and lowering the risk of death compared with medication alone.

However, MT is a complex procedure that requires highly specialized expertise. As a result, access remains limited, with many hospitals unable to offer the treatment. Robotic systems could help expand access to MT by enabling specialists to perform procedures remotely.

Sign up for Blog Updates