Project description
Fast response for stroke patients
Across Europe, only about 30 % of acute ischaemic stroke (AIS) patients receive specialised and timely care, and few hospitals have stroke radiologists on staff. Optimal treatment of a patient is only possible in only 5 % of hospitals. Stepping in to provide high-resolution imaging based on benchmarks and the patient’s own data, iTrust uses Convolutional Neural Networks to provide medical staff with immediate data like stroke lesion segmentation and volume estimations. The expected wide distribution of the software, which also reduces routine manual work, will be based on an annual licensing fee and on strategic partnerships with major CT and MRI vendors.
Objective
The problem: Today the complex and time-critical therapeutic decision in Acute Ischaemic Stroke (AIS) relies on the availability of expert stroke radiologists. However, only 5% of hospitals have facilities meeting the standards of comprehensive stroke centres. Thus, for 95% of hospitals, optimal treatment cannot be quickly identified and safely commenced. Consequently, only about 30% of AIS patients receive specialized stroke unit care across Europe.
The solution: iTrust is a clinical decision support (CDS) software that uses Convolutional Neural Networks to predict the outcome of treatment strategies in AIS, based on the patient’s biomarkers as well as clinical information, including brain scan images. The prediction shown as high-resolution images of probable brain tissue outcomes in function of each treatment available.
The market: Revenue from the iTrust software will come as annual licences fees: a model clearly preferred according to the surveyed KOLs. Initially, the distribution of the software will be carried out through strategic partnerships (formal agreements already signed) with the major medical scanner (CT, MRI) vendors, which will allow us to exploit their global sale channels and large installed base. The total addresable market for iTrust is over EUR 430 million per year in OECD countries. Given the high incidence of AIS, low volume (5%) of hospitals prepared to initiate the treatment and the high importance of quickly allocating the appropriate therapeutic intervention, we estimate an accumulated turnover exceeding EUR 41 million of the iTrust solution, five years post-project.
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.
- natural sciences computer and information sciences software
- medical and health sciences basic medicine neurology stroke
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME - SME instrument
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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) H2020-EIC-SMEInst-2018-2020
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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.
8000 Aarhus C
Denmark
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.