Breast density affects the imaging you get from x-rays. It is well-known that denser breast tissue results in x-rays that are "whiter" (I'm talking about the image of the tissue, in white, on a black background, as x-rays are commonly read by radiologists). Denser breasts are associated with less effective screening for breast cancer via mammogram. A mammogram is a low-dose x-ray.
When using a chest x-ray to look for pulmonary edema, for instance, I would be unsurprised if breast tissue (of any quantity) and in particular denser breast tissue would make the diagnosis of pulmonary edema more difficult from the image alone.
Also, you seem to have conflated a few things in your second sentence. Deep in the article, they did have radiologists try to guess demographic attributes by looking at the x-ray images. They were pretty good at guessing female/male (unsurprising) and were not really able to guess age or race. So I'm super interested in how the AI model was able to be better at that than the human radiologists.
When using a chest x-ray to look for pulmonary edema, for instance, I would be unsurprised if breast tissue (of any quantity) and in particular denser breast tissue would make the diagnosis of pulmonary edema more difficult from the image alone.
Also, you seem to have conflated a few things in your second sentence. Deep in the article, they did have radiologists try to guess demographic attributes by looking at the x-ray images. They were pretty good at guessing female/male (unsurprising) and were not really able to guess age or race. So I'm super interested in how the AI model was able to be better at that than the human radiologists.