37 citations · 82 across the 13 of their papers we have counts for
3 papers · 1 filter
World Model for AI Autonomous Navigation in Mechanical Thrombectomy
Harry Robertshaw, Han-Ru Wu, Alejandro Granados +1
Autonomous navigation for mechanical thrombectomy (MT) remains a critical challenge due to the complexity of vascular anatomy and the need for precise, real-time decision-making. R…
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy
Harry Robertshaw, Benjamin Jackson, Jiaheng Wang +4
Purpose: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current…
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
Harry Robertshaw, Lennart Karstensen, Benjamin Jackson +2
Purpose: Autonomous navigation of catheters and guidewires can enhance endovascular surgery safety and efficacy, reducing procedure times and operator radiation exposure. Integrati…