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

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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04313946

Acronym

AI-COVID-Xr

Enrollment

200

Registered

2020-03-18

Start date

2020-03-18

Completion date

2020-08-18

Last updated

2020-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

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

Keywords

Artificial Intelligence, CNNs, COVID-19, chest X-Ray, Emergency Department, Triage, Flu

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

Interventions

DIAGNOSTIC_TESTScanning Chest X-rays and performing AI algorithms on images

Chest X-Rays; AI CNNs; Results

Study design

Observational model

ECOLOGIC_OR_COMMUNITY

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

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

Design outcomes

Primary

Measure	Time frame	Description
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

Countries

Italy, Romania, United Kingdom

Contacts

Primary ContactAlexandru Burlacu, MD, PhD

alexandru.burlacu@umfiasi.ro0040744488580

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026