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This invention describes an AI system that helps a surgical robot perform operations by identifying tissue types using a neural network. If the AI recognizes the desired tissue, the robot removes a layer; if not, the surgeon identifies it, and the AI learns from this input to improve its recognition for future actions. The claims specifically detail a method where the neural network is retrained based on the surgeon's input.
Why it matters: Since 2019, AI and neural network training, particularly for real-time adaptation and learning from user input, have matured, making the continuous retraining described in the claims more robust.
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