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This study identifies ECG Mirage in multimodal clinical prediction and introduces visual prompt tuning as an efficient mitigation strategy.
A two-axis framework that evaluates correctness criteria by their agreement with human judgements and fidelity to human-referenced UE performance is introduced, demonstrating that correctness assessment is an integral component of clinical UE evaluation and should be validated before UE methods are compared.
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