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AI recognition of patient race in medical imaging: a modelling study

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Re: AI recognition of patient race in medical imaging: a modelling study

#14
post #8

What does this mean in terms of race being a social construct/concept?

Perhaps there is some quality of the x rays themselves that is different? 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.

Interesting hypothesis but I can't tell if you're being serious

Re: AI recognition of patient race in medical imaging: a modelling study

#15

What does this mean in terms of race being a social construct/concept?

There is no scientific, consistent way to define race. The groups we put people into is fairly arbitrary. They don't correlate to appearance, genetics, country of origin, etc.

An interesting question in the U.S. is "who is considered white?" There was a Supreme Court case in which someone who was literally from the Caucasus was ruled not white. This is why it's sociological, not scientific.

https://www.sceneonradio.org/episode-40-citizen-thind-seeing...

Re: AI recognition of patient race in medical imaging: a modelling study

#16

What does this mean in terms of race being a social construct/concept?

It still is. Just because it includes physical signifiers that can be measured doesn't mean it isn't still a social construct.

To give a contrived example; if I say people with ring fingers over 3 inches long are Longfings and people wkth ring fingers 3 inches or less are Shortfings, and then out society treats people differently based on being Longfing or Shortfing, this is a social construct that is causing problems for people based on a contrived criteria that has no real meaning. The same is true of race.

Re: AI recognition of patient race in medical imaging: a modelling study

#18

The interpretation part hit home: "The results from our study emphasise that the ability of AI deep learning models to predict self-reported race is itself not the issue of importance. However, our finding that AI can accurately predict self-reported race, even from corrupted, cropped, and noised medical images, often when clinical experts cannot, creates an enormous risk for all model deployments in medical imaging.…

what's this enormous risk they're talking about? racial bias in x-ray reading? race can be a risk factor in plenty of diseases, why should we actively try to remove this information from medical images?

Re: AI recognition of patient race in medical imaging: a modelling study

#20
post #6

What does this mean in terms of race being a social construct/concept?

Race, in terms of physiology has never been regarded by science to be a social construct. In fact it can be medically harmful to think this way.

One of the reasons certain communities were hit harder with Covid was vit D deficiency as a consequence of skin color.
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