Project description
A platform for improved ischaemic stroke patient management
With the rise of digitalisation, healthcare management services are undergoing extensive integration and advancement. This progression has given rise to the development of platforms, services and tools aimed at enhancing patient treatment, preservation, monitoring and care. Simultaneously, these advancements seek to enhance the working conditions for clinicians, caregivers and healthcare personnel. The EU-funded TRUSTroke project strives to create an essential privacy-preserving AI-based platform that will aid in the management and monitoring of patients with ischaemic stroke. By leveraging clinical data, refined privacy systems and external monitoring systems, the platform is intended to facilitate efficient and personalised patient care. Notably, it will enable critical monitoring throughout the chronic phases of the stroke.
Objective
TRUSTroke proposes a novel trustworthy by design and privacy-preserving AI-based platform to assist clinicians, patients and caregivers in the management of acute and chronic phases of ischemic stroke, based on the integration of clinical and patient-reported data, outcomes and experience for a trustworthy assessment of disease progression and risks. enabling more personalised and effective management of stroke, as well as providing inter-hospital benchmarking and sharing best practices.
Specifically, TRUSTroke will address to risks of: i) clinical severity at discharge ii) clinical worsening leading to unplanned hospital readmissions, iii) poor mobility, incomplete recovery and unfavourable clinical long-term outcomes; iv) stroke recurrence.
To this purpose, a Federated Learning infrastructure will enable multiple clinical sites to build several trustworthy AI based predictive models by leveraging stroke data without compromising privacy and implementing best-in-class security and privacy protocols. FAIRified clinical data from leading European hospitals and outpatient monitored data from a remote home-care system, will be used (i) to train and validate trustworthy AI models for stroke prediction; (ii) to personalise patients assessment of cardiovascular risk factors, treatment compliance and communication with healthcare professionals. TRUSTroke platform will be trustworthy by design since it will be compliant with the recognized guidelines for building FAIR resources and trustworthy AI systems, including the need for transparency, explainability, robustness, accountability, accuracy and security of the learned AI models. A series of User Experience studies will be performed to increase the usability of the platform and improve the communication to the end-users. A final proof of concept clinical study, conducted by world class stroke centres, will ensure the highest level of trustworthiness of TRUSTroke.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.2.1 - Health
MAIN PROGRAMME
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HORIZON.2.1.1 - Health throughout the Life Course
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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-RIA - HORIZON Research and Innovation Actions
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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) HORIZON-HLTH-2022-STAYHLTH-01-two-stage
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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.
08035 BARCELONA
Spain
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.