MIMIC

MIMIC: AI-based identification of stroke mimics by advanced neuroimaging

Approximately one in four individuals is affected by stroke, a major cause of death and disability. Timely and precise treatment is crucial to rescue the brain. This requires accurate identification of stroke versus other conditions with similar clinical presentations, known as stroke mimics. Misdiagnosis carries risks of delayed or wrong treatment, and stroke mimics account for up to 40% of all suspected stroke hospital admissions.

This project addresses this clinical challenge with AI-based innovations, for example by distinguishing distal ischemic stroke from seizure-induced stroke mimics using perfusion MRI (Borghouts et al., 2025). It promises to uncover new clinical knowledge and refine stroke diagnosis, reducing healthcare costs and, above all, improving patient outcomes in stroke care.

• Funding: National Growth Fund AiNed XS Europe, via NWO
• Partner: Support Center for Advanced Neuroimaging (SCAN), Inselspital, University of Bern, Switzerland
• Awarded: 2024