Artificial Intelligence Algorithms for Discriminating Between COVID-19 and Influenza Pneumonitis Using Chest X-Rays

This project aims to use artificial intelligence (image discrimination) algorithms; * specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19; * the objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza; * this software will be trained by introducing X-Rays from patients with/without COVID-19 pneumonitis and/or flu pneumonitis; * the same AI algorithm will run on future X-Ray scans for predicting possible COVID-19 pneumonitis