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Manual navigation outperforms robotic controllers in speed and safety, raising questions about the efficacy of haptic feedback in complex procedures.
World models can navigate blood vessels autonomously with higher success rates than standard RL, paving the way for safer robotic stroke treatments.
Standardized testbeds and effectiveness metrics could accelerate the development and validation of AI-assisted robotic thrombectomy, potentially revolutionizing stroke treatment accessibility.
