Simulation Is Becoming Medicine's Experimental Layer
Most medical AI is trained to look backward. It learns from patients who have already been observed and predicts a label: deterioration, readmission, treatment response, or diagnostic probability. But many of medicine’s hardest questions are not prediction questions. What happens if the dose changes? Which tissue should be ablated? How would a device perform in an anatomy that was rare in the original trial? What if a hospital changes its staffing or triage policy? ...