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

Professor Adrian Covic

Status: Unknown

Conditions: COVID-19; Influenza With Pneumonia; Flu Like Illness; Pneumonia, Ventilator-Associated; Pneumonia, Interstitial; Flu Symptom; Pneumonia, Viral; Pneumonia Atypical

Treatments: Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images

Study type: Observational

Funder types: Other

Identifiers

NCT04313946

0110

Details and patient eligibility

About

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

Full description

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

Enrollment: 200 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• flu-like symptoms: myalgia, cough, fever, sputum
• Chest X-Rays
• COVID-19 biological tests

Exclusion criteria

• patient refusal
• uncertain radiographs
• uncertain tests results

Trial design

200 participants in 1 patient group

Symptomatic Patients

Description:

Our goal is to identify an artificial intelligence algorithm that can be run on lung radiographs in patients with influenza / respiratory viral symptoms who come to the emergency department / triage. This algorithm aims to identify the radiographs of patients with COVID-19 and those with influenza pneumonitis, with accuracy verified by COVID-19 tests.

Treatment:

Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images