Foundation models can screen for future disease, but evaluating them only on standard metrics (like AUROC) misses critical real-world problems: false-alert burden varies by disease and health system, so external validation at clinically appropriate thresholds is essential before deployment.
TRACER is a foundation model trained on 4.5M patient EHR records that predicts disease diagnoses 1-5 years in advance.