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 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
Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images
Chest X-Rays; AI CNNs; Results
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
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
Alexandru Burlacu, MD, PhD
0040744488580
alexandru.burlacu@umfiasi.ro