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PEF not only boosts navigation success rates in complex vascular environments but also adapts seamlessly to patient-specific anatomies, paving the way for improved clinical outcomes.
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.
