A 2022 study reported that deep learning models' ability to predict self-reported race from medical images persisted across all anatomical regions and frequency spectrums and remained when images were corrupted, cropped, or noised, indicating robustness that may make it challenging to prevent race prediction in medical imaging AI.
January 01, 2022
high
temporal
Investigation of model robustness to image corruptions and analysis across anatomical regions and frequency spectrums.