2024
DOI: 10.1007/s11548-024-03208-w
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Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning

Harry Robertshaw,
Lennart Karstensen,
Benjamin Jackson
et al.

Abstract: Purpose Autonomous navigation of catheters and guidewires can enhance endovascular surgery safety and efficacy, reducing procedure times and operator radiation exposure. Integrating tele-operated robotics could widen access to time-sensitive emergency procedures like mechanical thrombectomy (MT). Reinforcement learning (RL) shows potential in endovascular navigation, yet its application encounters challenges without a reward signal. This study explores the viability of autonomous guidewire naviga… Show more

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