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
#2The 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."
Re: AI recognition of patient race in medical imaging: a modelling study
#3[deleted]
Re: AI recognition of patient race in medical imaging: a modelling study
#4What does this mean in terms of race being a social construct/concept?
Re: AI recognition of patient race in medical imaging: a modelling study
#5Simply go to google image and search: "skeletal racial differences".
subspecies are found across species-- they happen based on geographic dispersion and geographic isolation, which humans underwent for tens and hundreds of thousands of years.
Welcome to the sciences of anatomy, anthropology, and forensics.
other differences:
- slow twitch vs fast twitch muscle
- teeth shape
- shapes and colors of various parts
- genetic susceptibility to & advantages against specific diseases
Just like Darwin's finches of the Gallapogos, humans faced geographic dispersion resulting in genetic, diet (e.g. hunter-gatherer vs farmer & malnutrition), and geographical (e.g. altitude) differences which over the course of millennia affect anatomical differences. We can see this effect across all biota: bacteria, plants, animals, and yes, humans.
help keep politics out of science.
Re: AI recognition of patient race in medical imaging: a modelling study
#6What 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.
Re: AI recognition of patient race in medical imaging: a modelling study
#7What does this mean in terms of race being a social construct/concept?
Same as it always did, as humans have long claimed to be able to distinguish race simply by looking.
Re: AI recognition of patient race in medical imaging: a modelling study
#8What 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.
Re: AI recognition of patient race in medical imaging: a modelling study
#9Given the complexity of datasets, and what is known about the quality of medical scanners, is it possible that underserved communities (ie higher noise scanners) serve a specific community that is heavily skewed in race distributions?
Re: AI recognition of patient race in medical imaging: a modelling study
#10One 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.