NeoMedSys’s brain bleed detection platform improved performance after a three-month real-world deployment in Oslo, reflecting the practical value of clinician feedback loops in AI imaging. Radiologist feedback raised VIOLA-AI sensitivity from 79.2% to 90.3% and AUC from 0.873 to 0.949. The results provide a measurable template for iterative learning in clinical settings: model monitoring paired with user feedback can change outcomes beyond initial lab validation. The deployment also signals that hospitals are increasingly testing AI systems as living tools rather than one-time software deliveries.