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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.
Surgical robots can now learn from open-source videos, bridging the gap between phantom training and real-world application.