Wight, C.

Background Rapid stroke type identification is essential for time‐sensitive interventions, yet timely neuroimaging remains limited, especially in pre‐hospital and resource‐constrained settings. The EMVision emu™ Brain Scanner is a portable neurodiagnostic device using non‐ionizing electromagnetic signals to distinguish stroke subtypes. In an Australian prevalidation study enrolling 277 suspected stroke patients, it demonstrated diagnostic accuracy with sensitivity and specificity of 92% and 85% for hemorrhagic and 95% and 80% for ischemic strokes, respectively. Case studies and image reconstructions provided (figures 1 and 2). This follow‐up study aims to validate the diagnostic performance of emu™ for detecting intracranial hemorrhage in an international cohort, targeting ≥80% sensitivity and specificity. Methods A prospective, multi‐center, international, paired diagnostic accuracy study, with 4 US sites and 2 Australian sites. It will enroll 300 patients presenting within 12 hours of stroke onset. Patients will be stratified into two arms: intracranial hemorrhage, and ischemic stroke, TIA, or stroke mimic. Participants will undergo standard imaging, followed by non‐invasive scan by the emu™ device. Ground‐truth diagnoses will be adjudicated by a blinded expert panel. The primary endpoints are the sensitivity and specificity of the emu™ device for detecting hemorrhage, calculated against the reference standard. Statistical inference will rely on whether the lower bound of the 95% confidence interval for sensitivity and specificity exceeds 80%. Results First Australian and US enrollments occurred on June 11, 2025, and July 3, 2025, respectively. Latest progress in the study will be presented at the time of conference. Conclusion This is the first international validation study of a portable electromagnetic brain scanner for intracranial hemorrhage detection; a novel, non‐ionizing, diagnostic tool that can revolutionize acute stroke triage, enabling earlier treatment decisions, improved workflows, and equitable access to neuroimaging. image image