Deep Neural Network detection and clinical staging of covid-19 chest x-rays

Wolfram and other image classifier deep neural networks (DNNs) were adapted to differentiate covid-19 from normal and other viral pneumonia chest x-rays, giving up to 100% accuracy on 3x1200 training images. Another DNN gave an initial covid-19 clinical staging accuracy of 80% on just 80 images (work in progress). Methods to improve the training data by employing routine and AI-assisted Quality Assurance are discussed and assessed.