|D017563||Lung Diseases, Interstitial NIH||0.41|
|D007251||Influenza, Human NIH||0.38|
|D053717||Pneumonia, Ventilator-Associated NIH||0.35|
|D011024||Pneumonia, Viral NIH||0.14|
There is one clinical trial.
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
Description: Number of participants with pneumonitis on Chest X-Ray and COVID 19 positiveMeasure: COVID-19 positive X-Rays Time: 6 months
Description: Number of participants with pneumonitis on Chest X-Ray and COVID 19 negativeMeasure: COVID-19 negative X-Rays Time: 6 months