TRUSTroke

TRUSTroke proposes a novel AI-based platform to assist clinicians, patients and caregivers in the management of acute and chronic phases of ischemic stroke. It is based on the integration of clinical and patient-reported data, outcomes and experience for a trustworthy assessment of disease progression and risks. It enables more personalized and effective management of stroke. 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 unfavorable clinical long-term outcomes; iv) stroke recurrence. To this purpose, a Federated Learning (FL) 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 (NORA), will be used to train and validate trustworthy AI models for stroke prediction; to personalize patients´ assessment of cardiovascular risk factors, treatment compliance and communication with healthcare professionals. 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 centers, will ensure the highest level of trustworthiness of TRUSTroke. The TRUSTroke Consortium is formed by 13 partners from Spain, Italy, Belgium, Slovenia, Switzerland, and The Netherlands. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency. Neither the European Union nor the European Health and Digital Executive Agency can be held responsible for them.