A team of Stanford researchers developed a deep learning-based algorithm that evaluates chest X-rays for signs of disease. “Interpreting X-ray images to diagnose pathologies like pneumonia is very challenging, and we know that there’s a lot of variability in the diagnoses radiologists arrive at,” said Pranav Rajpurkar, a graduate student in the Stanford Machine Learning