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What is the role of AI in radiology?

What is the role of AI in radiology?

In the article, “New AI Can Diagnose Pneumonia Better Than Doctors ( we begin to see a glimpse of the possibilities:

“In the case of CheXnet, the research team led by Stanford adjunct professor Andrew Ng, started by training the neural network with 112,120 chest X-ray images that were previously manually labeled with up to 14 different diseases. One of them was pneumonia. After training it for a month, the software beat previous computer-based methods to detect this type of infection. The Stanford Machine Learning Group team pitted its software against four Stanford radiologists, giving each of them 420 X-ray images. This graphic shows how the radiologists–represented by the orange Xs–did compared to the program–represented by the blue curve.”


[Image: Stanford Machine Learning Group]