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

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

• Registration Number: NCT04313946
• Lead Sponsor: Professor Adrian Covic

Brief Summary

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

Detailed 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

Study Timeline

• Study First Submitted: 2020-03-17
• Study First Submitted QC: 2020-03-17
• Study Start: 2020-03-18
• Study First Posted: 2020-03-18
• Status Verified: 2020-04
• Last Update Submitted: 2020-04-23
• Last Update Posted: 2020-04-27
• Primary Completion: 2020-08-16
• Study Completion: 2020-08-18

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 200

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
COVID-19 positive X-Rays	6 months	Number of participants with pneumonitis on Chest X-Ray and COVID 19 positive
COVID-19 negative X-Rays	6 months	Number of participants with pneumonitis on Chest X-Ray and COVID 19 negative

Trial Locations

Locations (3)

U.O. Multidisciplinare di Patologia Mammaria e Ricerca Traslazionale; Dipartimento Universitario Clinico di Scienze Mediche, Chirurgiche e della Salute Università degli Studi di Trieste; 🇮🇹 Cremona, Italy

University of Medicine and Pharmacy Gr T Popa; 🇷🇴 Iaşi, Romania

Department of Cardiology at Chelsea and Westminster NHS hospital; 🇬🇧 London, United Kingdom