According to the source article, researchers analyzing multiple machine learning models using patient medical images were able to confirm the models’ ability to predict race with high accuracy from images. They were stumped as to what exactly is enabling the systems to consistently guess correctly. The researchers found that even factors like disease and physical build were not strong predictors of race—in other words, the algorithmic systems don’t seem to be using any particular aspect of the images to make their determinations.