The paper defines four testbed environments with increasing realism and two macro-classes of effectiveness metrics for validating AI-assisted robotic thrombectomy systems.
Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions.arXiv preprint, 10 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START)
The paper defines four testbed environments with increasing realism and two macro-classes of effectiveness metrics for validating AI-assisted robotic thrombectomy systems.