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
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

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

Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images
Chest X-Rays; AI CNNs; Results
Symptomatic Patients

Eligibility Criteria

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

Eligibility Gender
All
Countries
Italy
Romania
United Kingdom
Contacts

Alexandru Burlacu, MD, PhD
0040744488580
alexandru.burlacu@umfiasi.ro

Alexandru Burlacu, Lecturer
Principal Investigator
University of Medicine and Pharmacy Gr T Popa - Iasi

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Radu Dabija, Lecturer
Principal Investigator
University of Medicine and Pharmacy Gr T Popa - Iasi

Professor Adrian Covic
Falcon Trading Iasi
Romanian Academy of Medical Sciences
NCT Number
Keywords
Artificial Intelligence
CNNs
Covid-19
chest X-Ray
emergency department
Triage
Flu
MeSH Terms
Pneumonia, Ventilator-Associated
Influenza, Human
Pneumonia, Viral
Pneumonia
Lung Diseases, Interstitial