"The model used in the new study, called CheXzero, was developed in 2022 by a team at Stanford University using a data set of almost 400,000 chest x-rays of people from Boston with conditions such as pulmonary edema, an accumulation of fluids in the lungs. Researchers fed their model the x-ray images without any of the associated radiologist reports, which contained information about diagnoses. "
... very interesting that the inputs to the model had nothing related to race or gender, but somehow it still was able to miss diagnose Black and female patients? I am curious of the mechanism for this. Can it just tell which x-rays belong to Black or female patients and then use some latent racism or misogyny to change the diagnosis? I do remember when it came out that AI could predict race from medical images with no other information[1], so that part seems possible. But where would it get the idea to do a worse diagnosis, even if it determines this? Surely there is no medical literature that recommends this!
... very interesting that the inputs to the model had nothing related to race or gender, but somehow it still was able to miss diagnose Black and female patients? I am curious of the mechanism for this. Can it just tell which x-rays belong to Black or female patients and then use some latent racism or misogyny to change the diagnosis? I do remember when it came out that AI could predict race from medical images with no other information[1], so that part seems possible. But where would it get the idea to do a worse diagnosis, even if it determines this? Surely there is no medical literature that recommends this!
[1]https://news.mit.edu/2022/artificial-intelligence-predicts-p...