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This work introduces the first vision-guided autonomous system capable of performing complete tumor resections for partial nephrectomy, and demonstrates, for the first time, a foundation for supervised autonomous closed-loop, imaging-driven, margin-negative tumor removal in phantoms.
The Zivid 2M+ 60 outshines its competitors, proving to be the most accurate depth sensor for medical applications in challenging conditions.
Achieving 100% success in autonomous clip positioning, this robotic system redefines precision in laparoscopic surgery with minimal data requirements.