Standard unlearning raises false-negative rates and clinical risk in medical image models, but a modified SalUn-CRA variant using entropy-based forgetting for malignant samples matches full retraining risk while still removing data influence.
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Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification
Standard unlearning raises false-negative rates and clinical risk in medical image models, but a modified SalUn-CRA variant using entropy-based forgetting for malignant samples matches full retraining risk while still removing data influence.