A model-agnostic harness classifies per-example failures by responsible modality and by loud-versus-silent dropout, validated on planted structure and demonstrated on echo/ECG LVEF prediction.
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Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI
A model-agnostic harness classifies per-example failures by responsible modality and by loud-versus-silent dropout, validated on planted structure and demonstrated on echo/ECG LVEF prediction.