ClarusC64/clinical-imaging-request-indication-coherence-risk-v0.1
What this repo is for This dataset tests whether a model can detect coupling failures between imaging orders and the documented clinical indication. It measures alignment between imaging being requested and a clear indication with an explicit clinical question that supports the order. It predicts low-value imaging radiology backlog pressure incidental finding cascades care delays when results are not actioned. You use it for clinical AI ordering safety eval radiology demand management… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-imaging-request-indication-coherence-risk-v0.1.
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