Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning.

The proposed neural network was validated in both simulation and phantom experimental settings, confirming that traction control improved tissue planarity and visibility. These results demonstrate the feasibility of automating countertraction using the proposed model.