Large language models achieve high scores on health application benchmarks, yet adversarial stress tests now reveal prevalent brittleness — shortcut reliance, fragile visual grounding and fabricated reasoning traces — which exposes substantial gaps between benchmark performance and the robustness evidence needed to support claims of readiness for medical decision-support and patient-facing applications.