Cutting-edge artificial intelligence applications are revolutionizing medical imaging, exemplified by DeepISLES—a deep learning model validated for enhanced ischemic stroke lesion segmentation. Concurrently, federated learning frameworks are overcoming cross-vendor data barriers in diagnostic imaging, bolstering collaborative AI utility while safeguarding patient privacy. These developments pave the way for improved clinical workflow, faster stroke diagnosis, and better imaging interoperability across healthcare systems.