Trustworthy AI For Improvement of Stroke Outcomes
Stroke is the leading cause of severe disability worldwide. Stroke is associated with an enormous social and economic burden, which will dramatically increase over the next decades due to population aging. It is of utmost importance for stroke survivors and their families to have access to trustworthy predictions about their probability of recovery to a functional, independent living, as it would greatly contribute to setting appropriate goals for their rehabilitation process and optimizing the patients’ engagement on it. Furthermore, the risk of stroke recurrence is high (up to 25%). Tools for a reliable prediction of those patients at a higher risk of recurrence in a given time window would be crucial to prevent early clinical worsening or new ischemic events by means of personalized stroke management.
TRUSTroke will offer a set of tools empowering the healthcare professionals to take the right decisions to improve the delivery of care and the patient outcomes. The innovation potential in this project lies in the development of novel AI tools trained and deployed on a platform that will be fully integrated into the stroke care workflows enabling to dive into the internals of the clinical pathways finding out the real steps performed by patients as well as personalizing risk prediction of early readmission, stroke recurrence and long-term clinical outcome.
Our role in this project
CERN is in charge of the federated learning (FL) platform used in the project for the creation of AI models. The development is focused on improving and expanding the functionalities of the CAFEIN® platform, with a focus on software security and machine learning privacy.
WP2 Truststroke meeting at CERN
September 28-29, 2023
References
Text from https://cordis.europa.eu/project/id/101080564/reporting
Link to deliverables: https://cordis.europa.eu/project/id/101080564/results
Link to eatris: https://eatris.eu/projects/trustroke-trustworthy-ai-for-improvement-of-stroke-outcomes/
