CIT-LR, a diffusion-based statistical test, checks whether medical imaging classifiers change their predictions when a patient's reported race is altered in generated counterfactual images.
For a review on this notion and its properties we refer the reader to , e.g., Pearl [2009], Peters et al
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AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
CIT-LR, a diffusion-based statistical test, checks whether medical imaging classifiers change their predictions when a patient's reported race is altered in generated counterfactual images.