This research combines CT and MRI brain imaging using machine learning to detect stroke risk markers more quickly. By translating fast CT scans into MRI-level insights, clinicians may identify dangerous intraplaque hemorrhages earlier, improving stroke prevention and diagnosis. The multimodal approach could also enhance imaging for neurological diseases such as Alzheimer’s and Parkinson’s.