UnknownNot Applicable

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

Italy, Romania, United Kingdom200 participantsStarted 2020-03-18

Plain-language 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

Who can participate

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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

What they're measuring

COVID-19 positive X-Rays

Timeframe: 6 months

COVID-19 negative X-Rays

Timeframe: 6 months

Trial details

NCT IDNCT04313946

SponsorProfessor Adrian Covic

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2020-08-16

Contact for this trial

Alexandru Burlacu, MD, PhD

0040744488580 alexandru.burlacu@umfiasi.ro

View on ClinicalTrials.gov More COVID-19 trials