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by bb123 1493 days ago
One idea is that there is some difference in the x-rays themselves that could potentially be explained by racial disparities in access to (and quality of) healthcare. Maybe white people tend to visit hospitals with newer, better equipment or better trained radiographers and the model is picking up on differences in the exposures from that.
4 comments

> We also showed that the ability of deep models to predict race was generalised across different clinical environments, medical imaging modalities, and patient populations, suggesting that these models do not rely on local idiosyncratic differences in how imaging studies are conducted for patients with different racial identities.
They mostly accounted for this:

>Race prediction performance was also robust across models trained on single equipment and single hospital location on the chest x-ray and mammogram datasets

Sure, it’s possible that bias due to the radiographer is the culprit, but this seems unlikely.

That's an interesting confounding variable. I think it's disproven by the fact that the AUC is too high given your hypothesis.
These results seem too accurate to be explained only by a correlation to the medical equipment used.