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AI-based chest CT analysis enabling rapid COVID diagnosis and prognosis

Objective

This icovid project is the continuation of the pro bono icovid initiative that developed the CE-marked and FDA permitted AI-based CT analysis software, icolung, and made it available in over 65 hospitals worldwide. The icovid project aims to improve the software making it of greater value as the clinical needs evolve, validating it in renowned academic centers and deploying it at large-scale across Europe. icolung is expected to have a significant societal impact by increasing confidence when making a CT diagnosis and providing accurate quantification of disease and prognostic information in patients with suspected COVID-19 disease. Importantly, even in a low prevalence setting icolung may have a much higher sensitivity and a comparable specificity for the diagnosis compared to the RT-PCR testing used currently. Identifying infected patients earlier will reduce the risk of further contamination and allows the right patient management to start earlier. icolung also predicts the risk of developing severe COVID-19 disease for which ICU admission and mechanical ventilation are required, allowing optimization of patient care. This project will significantly strengthen the position of two European SMEs in the rapidly growing market of AI in healthcare. One of them is coordinating the project and the consortium involved, enabling quick responses in a rapidly changing environment. The consortium builds further on existing organic collaboration and contains world-renowned experts of which multiple are part of the Executive Committee of the European Society of Thoracic Imaging.

Field of science

  • /natural sciences/computer and information sciences/software

Call for proposal

H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

ICOMETRIX NV
Address
Kolonel Begaultlaan 1B
3012 Leuven
Belgium
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 849 992,50

Participants (8)

KING'S COLLEGE LONDON
United Kingdom
EU contribution
€ 252 672,50
Address
Strand
WC2R 2LS London
Activity type
Higher or Secondary Education Establishments
VRIJE UNIVERSITEIT BRUSSEL
Belgium
EU contribution
€ 750 000
Address
Pleinlaan 2
1050 Brussel
Activity type
Higher or Secondary Education Establishments
UNIVERSITATSKLINIKUM HEIDELBERG
Germany
EU contribution
€ 200 000
Address
Im Neuenheimer Feld 672
69120 Heidelberg
Activity type
Higher or Secondary Education Establishments
CENTRE HOSPITALIER UNIVERSITAIRE DE LIEGE
Belgium
EU contribution
€ 200 000
Address
Sart Tilman B35
4000 Liege
Activity type
Research Organisations
UNIVERSITE DE LIEGE
Belgium
EU contribution
€ 200 000
Address
Place Du 20 Aout 7
4000 Liege
Activity type
Higher or Secondary Education Establishments
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
United Kingdom
EU contribution
€ 300 025
Address
Wellington Square University Offices
OX1 2JD Oxford
Activity type
Higher or Secondary Education Establishments
UNIVERSITEIT MAASTRICHT
Netherlands
EU contribution
€ 350 000
Address
Minderbroedersberg 4-6
6200 MD Maastricht
Activity type
Higher or Secondary Education Establishments
THE MEDICAL CLOUD COMPANY
Belgium
EU contribution
€ 70 000
Address
Clos Chanmurly 13
4000 Liege
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)