Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning

arXiv:2406.12499v1 Announce Type: new
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 navigation in MT vasculature using inverse RL (IRL) to leverage expert demonstrations. Methods: This study established …

abstract access arxiv autonomous cs.ai cs.lg cs.ro emergency navigation potential reinforcement reinforcement learning robotics safety shows surgery type