TRUSTroke Launches Clinical Study to Advance AI-Driven Stroke Follow-Up 

A retrospective study has been carried out with data from 11.000 patients to train artificial intelligence algorithms and adapt the Nora mobile application to different patient profiles

The TRUSTroke project has entered a new clinical study phase to develop an AI-based solution for personalised follow-up of patients who have suffered an ischaemic stroke. Building on an initial retrospective study that trained algorithms using data from over 11,000 patients across three European hospitals, the project will now gather prospective data from those centers and an additional one to test and refine predictive models

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