TRUSTROKE

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 personalized and effective management of stroke, as well as providing inter-hospital benchmarking and sharing best practices. 

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 to train and validate trustworthy AI models for stroke prediction, to personalise patients´ assessment of cardiovascular risk factors, treatment compliance and communication with healthcare professionals.