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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.
Eversion-based robotic navigation can reduce interaction forces by over 65%, enabling safer access to the spinal subarachnoid space without damaging delicate neural structures.
Manual navigation outperforms robotic controllers in speed and safety, raising questions about the efficacy of haptic feedback in complex procedures.
Achieving superior anatomical fidelity in synthetic MRI scans could revolutionize brain cancer diagnostics while eliminating the risks of chemical contrast agents.
World models can navigate blood vessels autonomously with higher success rates than standard RL, paving the way for safer robotic stroke treatments.
