|D053717||Pneumonia, Ventilator-Associated NIH||0.33|
|D017563||Lung Diseases, Interstitial NIH||0.27|
|D007251||Influenza, Human NIH||0.21|
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
Data processed on September 26, 2020.
An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.Drug Reports MeSH Reports HPO Reports