@neurIST

Towards integrative decision support systems for personalised brain aneurysm rupture risk assessment and treatment.

When considered separately from other cardiovascular diseases, stroke ranks third among all causes of death, after heart disease and cancer.Worldwide, 3 million women and 2.5 million men die each year from stroke. Hemorrhagic stroke occurs when a blood vessel, typically an aneurysm, ruptures inside the brain. This often leads to severe disability or death. Despite considerable advances in treatment, rupture is associated with exceptionally high levels of morbidity and mortality - about 33% in each case.

Currently, invasive or minimally invasive treatment is offered to almost all patients because there is insufficient evidence to support a decision of nonintervention. It is the primary thesis of @neurIST that the process of cerebral aneurysm diagnosis, treatment planning and development is significantly compromised by the fragmentation of relevant data.To address this issue, @neurIST is developing a complete IT infrastructure for the management and processing of heterogeneous data associated with the diagnosis and treatment of cerebral aneurysms.

@neurIST will transform the management of cerebral aneurysms by providing new insight, personalised risk assessment and methods for the design of improved medical devices and treatment protocols.

For further information, please visit:
http://www.aneurist.org

Project co-ordinator:
Universitat Pompeu Fabra

Partners:
Universitat Pompeu Fabra, Université de Genève, The University of Sheffield, Ecole Polytechnique Fédérale de Lausanne, Fraunhofer Institute, Institut Municipal d'Assistència Sanitària, Super Computing Solutions, Philips Medical Systems, Erasmus Medical Center, Royal Institute of Technology, GridSystems, ANSYS, NEC, University of Oxford, InferMed, Advanced Simulation & Design, William Cook, Institut National de la Santé et la Recherche Médicale, IDAC, Neuroangiografia Terapèutica, Hospital Clínic de Barcelona, University of Bedfordshire, Medical University of Pécs, Universitaet Wien, Universitätsklinikum Freiburg, Durham University, King's College London.

Timetable: from 01/06 - to 12/09

Total cost: € 17.356.730,92

EC funding: € 12.605.239

Instrument: IP

Project Identifier: IST-2004-027703

Most Popular Now

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...