Stroke Assessment

Quality improvement study with prospective observational design. The study monitors the diagnostic accuracy of an AI-assisted resident radiologist-termed the AI-ResRad diagnostic strategy-compared to an on-call specialist neuroradiologist-termed the SpecNeuroRad strategy-in interpreting stroke MRIs in patients with known onset. The study includes a pre-planned sub-study evaluating the diagnostic accuracy of neurologists and AI-assisted neurologists.

The goal of this web-based randomized clinical trial is to evaluate whether an e-learning training program improves the accuracy of National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) assessments among practicing paramedics in French-speaking Switzerland who have not previously received formal training in these scales. The main questions it aims to answer are: * Does e-learning training improve performance on a standardized NIHSS assessment quiz compared with no prior training? * Does e-learning training improve the accuracy of mRS assessment using case-based clinical vignettes compared with no prior training? Researchers will compare paramedics who complete the NIHSS and mRS e-learning modules before assessment (intervention group) with paramedics who complete the assessments without prior training (control group) to determine whether e-learning training leads to higher assessment performance scores. Participants will: * Provide electronic informed consent via a secure web-based platform * Be randomly assigned to either the intervention group or the control group * Complete either the e-learning modules before assessment or the assessments before training, depending on group allocation * Complete an online NIHSS quiz and mRS case-based vignettes * Receive access to the NIHSS and mRS e-learning modules by the end of the study