@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

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...

Brain Imaging may Identify Patients Like…

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from...