Objective
Intracranial aneurysms (IAs) pose a severe neurovascular threat, with rupture leading toIntracranial aneurysms (IAs) pose a severe neurovascular threat, with rupture leading to life-threatening complications. Current treatment planning relies on static imaging and computational fluid dynamics, which are computationally expensive and lack real-time clinical integration. Clinicians face uncertainty in selecting optimal intervention strategies, increasing procedural risks and costs. VRAI-CURE proposes an AI-driven clinical decision support system that combines Physics-Constrained Graph Neural Networks for real-time hemodynamic simulation and immersive Virtual Reality (VR) visualization. This system enables instantaneous, patient-specific blood flow predictions, transforming clinical workflows by providing neurovascular specialists with actionable insights for treatment planning. Unlike conventional simulation or imaging methods, the proposed AI-based approach is computationally efficient, self-improving with each new patient case, and seamlessly integrates into standard imaging workflows (MRI, CT, angiography). By delivering an interactive VR-based visualization of blood flow dynamics, VRAI-CURE enhances clinical understanding of aneurysm behavior and treatment effects, facilitating personalized decision-making. Our preliminary validation demonstrates superior accuracy and efficiency compared to existing techniques, addressing a significant gap in neurovascular intervention. With the VR healthcare market projected to reach $40 billion by 2032, the transformative potential extends beyond neurovascular medicine, offering a cutting-edge solution in a rapidly expanding sector. This project aims to advance to TRL 6, developing a certified clinical prototype ready for industrial transfer. The project’s high-risk/high-gain potential positions it as a transformative innovation in precision neurovascular medicine, with broad implications for AI-driven clinical decision support.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75272 Paris
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.