Two Nature studies show specialized AI systems diagnose diseases and select treatments as effectively as physicians in simulated cases. These systems rely on base models that are already outdated. This suggests a looming performance plateau as medical knowledge evolves. Practitioners must now prioritize dynamic updating over static model training to maintain clinical accuracy.