SOURCE-LINKED INTELLIGENCE
IRIS-VISTA: From Proof-of-Concept to Market Readiness in Predictive Neurovascular Medicine
size, leaving many high-risk patients undetected and others unnecessarily treated. IRIS-VISTA addresses this gap by integrating multimodal imaging, computational fluid dynamics (CFD), and explainable artificial intelligence (XAI) within a secure cloud-based platform to provide reliable and clinically interpretable rupture-risk predictions. Within the EIC Pre-Accelerator, the project will advance the system from TRL 4–5 to TRL 6 through three core objectives: (1) clinical validation using anonymized datasets from partner hospitals to ensure accuracy, reproducibility, and workflow integration; (2) investor readiness through the development of a regulatory roadmap, financial model, and scalable business strategy; and (3) market preparation via engagement with hospitals, insurers, and MedTech stakeholders to refine the value proposition and define early pilot opportunities. These activities directly support the EIC Pre-Accelerator Work Programme by combining technology validation, business acceleration, and early market engagement to prepare a high-potential innovation for scale and inv
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 489433.51
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.