AI-MASLD stress-audit exposes hidden safety flaws in medical LLMs
The AI‑MASLD framework adapts metabolic stress‑testing to audit medical large language models, exposing failure modes that standard accuracy benchmarks miss. Testing seven models on 240 clinical cases revealed divergent stress‑response phenotypes, with fine‑tuned models showing reduced logical stability and fairness. The study argues narrative stress testing is essential before clinical deployment.