Step 1
Data capture
Automatic capture of 3D CT volume and 11 urgent clinical markers directly from the hospital EMR
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CortexNeo — AI platform for early hemorrhagic transformation risk assessment in ischemic stroke
Assesses risk in 60–90 seconds — from 3D CT imaging and 11 clinical EMR markers
Request a demoTechnology
How CortexNeo end-to-end analysis works
Step 2
Processing
Analyzes brain parenchyma radiomics and auto-calculates an inflammation index from EMR lab data
Step 3
Fusion
The patient's clinical profile and CT data are fused at a deep level — each marker sharpens the imaging interpretation
Step 4
Output
Outputs risk category, lesion heatmap, and tactical recommendations for the clinical team
Clinical and economic efficiency
Socio-economicimpact of deployment
CortexNeo helps teams decide faster, reduce complication risks, and improve comprehensive stroke center performance.
Faster decisions
Cuts risk assessment time by 30–40 minutes — result delivered in 60–90 seconds before reperfusion
Fewer complications
Individual HT risk prediction from CT and clinical data — replacing population scales with AUC < 0.72
Lower costs
Optimized insurer and hospital spending by shortening ICU and critical care stays
Validated value
Top socio-economic potential score — 3 out of 3 on the Roscongress platform
Integration and security perimeter
Medical standards compliance and data protection
Deployed On-Premise inside the hospital. No external cloud APIs — patient data never leaves the medical facility. Full compliance with Federal Law 152-FZ.
Anonymization
Seamless API integration with existing radiology systems (PACS) and hospital information systems (HIS)
Integration
Optimized for OpenVINO — inference under 90 seconds on standard hospital CPU servers, no GPU required.
Automation
About CortexNeo
Discuss launching a pilot at your comprehensive stroke center
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About
CortexNeo does what no existing system does — predicts hemorrhagic transformation risk before reperfusion, not after. No cloud. Result in 90 seconds.
