AI-Guided Autonomous Robotic Thrombectomy for Acute Ischemic Stroke
Three independent demonstrations (Artedrone/Carvolix autonomous catheter navigation in porcine cerebral vasculature, King’s College London TD-MPC2 reinforcement learning achieving 65% success across 10 patient vasculatures at MICCAI 2025, and ETH Zurich magnetic microrobots performing vascular thrombectomy in large animals published in Science 2025) converge on a single clinical target: the 88% mechanical thrombectomy access gap identified by ARPA-H. Approximately 800,000 strokes occur annually in the US, yet only 12% of eligible patients receive thrombectomy due to a bottleneck of roughly 2,000 neurointerventionalists and severe rural access disparity (27.7% vs 69.5% urban). Zero commercial products provide autonomous neurovascular thrombectomy. The gap between validated prototypes and clinical deployment represents a first-mover opportunity in an $8.4B to $17.5B annually addressable US market with explicit federal funding signals from ARPA-H AIR and DARPA MASH.
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