ICARUS

Prognosis of functional independence after stroke is fundamental as it enables adjusting expectations, setting realistic objectives, and individualizing resources. Although many prognostic studies have investigated factors of recovery in the acute phase, prognostic factors of functional recovery in post-acute and chronic patients that participate in neurorehabilitation programs is almost unexplored. The aim of this project is to create improved predictive models of the functional independence post-stroke based on clinical, neuroanatomical and genetic information, as well as the initial response to rehabilitation, and the use of artificial intelligence. A convenience sample of adults post-stroke who have attended a neurorehabilitation program will be retrospectively recruited from the clinical histories of healthcare networks in Spain. Predictive models based on artificial intelligence will be created and validated to determine the prognosis of ischemic and hemorrhagic etiology separately, will be compared with existing models, and will be available for consultation in an open-acces web platform. The project will improve prognosis after stroke in the neurorehabilitation setting and will provide the neurorehabilitation stakeholders with an open-access consultation website, which will democratize the results of the project, and promote transference of knowledge and integration into daily practice.