Most clinical AI models are only tested when every scan is present. In the real world modalities go missing, and some models fail without ever raising a flag. This framework was built to catch those silent failures before deployment.
Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI
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