Neurovascular Imaging Decision Support
This application area focuses on using advanced analytics to interpret neurovascular and stroke‑related imaging (CT, MRI, perfusion scans) and linked clinical data in order to support faster, more consistent decisions in both acute care and research. In the clinical setting, it automates image measurements, flags time‑critical findings, and standardizes assessment criteria so radiologists, neurologists, and emergency teams can diagnose and triage stroke and other neurovascular emergencies more rapidly and accurately. In life sciences and clinical research, the same capabilities are applied to large imaging and outcomes datasets to streamline trial recruitment, automate endpoint measurements, and generate real‑world evidence at scale. By closing the loop between hospitals and biopharma/med‑tech companies, this application reduces manual review effort, accelerates validation of new drugs and devices, and improves consistency of data used in regulatory and post‑market studies.
The Problem
“Real-time stroke imaging quantification and triage support from CT/MRI + clinical context”
Organizations face these key challenges:
Critical findings (LVO, hemorrhage, core/penumbra mismatch) can be missed or delayed during peak ED volume
High variability in measurements (ASPECTS, perfusion maps, stenosis/occlusion location) across readers and sites
Slow turnaround from scan completion to actionable triage/treatment decision (thrombectomy, thrombolysis, transfer)