COVID-19 Clinical Trial
Official title:
The Benefits of Artificial Intelligence Algorithms (CNNs) for Discriminating Between COVID-19 and Influenza Pneumonitis in an Emergency Department Using Chest X-Ray Examinations
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 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
;
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