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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.
Acquisition variability in MRI can be systematically controlled, allowing for more reliable and interpretable medical imaging across different scanners and protocols.
