Subtitle: A system-design view of moving from risk prediction to intervention simulation**
Over the last decade, most AI healthcare narratives have been about helping machines see disease.
Computer vision systems detect lesions in medical images. Risk models estimate the probability of cardiovascular events, diabetes, readmission, or poor outcomes. Large language models summarize clinical notes, explain lab reports, and assist with medical text workflows.
These capabilities matter.
But most of them still answer one of two questions:
