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.