Sonio: Deep-Learning for Detection and Diagnostic of Prenatal Malformations

Project Information

d3pm

Grant agreement ID: 190186381

DOI

10.3030/190186381

Project closed

EC signature date 6 April 2023

Start date 1 January 2023

End date 31 December 2024

Funded under

• The European Innovation Council (EIC)

Total cost

€ 5 717 542,50

EU contribution

€ 2 500 000,00

Coordinated by

SONIO
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

Report on precommercial demonstration of prototypes' results

The report will present the performance of the first prototypes and summarise the precommercial demonstration of prototypes’ results

Publications

Peer reviewed articles (6)

OC01.01: Performance of an AI algorithm for quality control of routine fetal ultrasound

Author(s): J. Stirnemann, R. Besson, V. Debavelaere, F. Loge, C. Amabile, P. Migeon, M. A. Curran, N. Fries, E. Smith, E. Ostermayer, K. E. Bradley, L. Armstrong, K. Trychon, K. Sheehan, M. Flinn, D. A. Rodriguez, M. Spiliopoulos, V. Romero, D. A. Jones, J. R. Allbert, L. Ghulmiyyah, E. Spaggiari, Y. Ville
Published in: Ultrasound in Obstetrics & Gynecology, Issue 62, 2024, ISSN 0960-7692
Publisher: Wiley
DOI: 10.1002/uog.26321

EP01.12: AI demonstrates high detection in first trimester screening for spina bifida

Author(s): R. Besson, N. Fries, C. Morisset, V. Debavelaere, E. Spaggiari, Y. Oyelese, R. Chaoui, J. Stirnemann, Y. Ville
Published in: Ultrasound in Obstetrics & Gynecology, Issue 64, 2024, ISSN 0960-7692
Publisher: Wiley
DOI: 10.1002/uog.28027

OC07.04: Artificial intelligence software demonstrates strong performance for screening of transposition of great arteries

Author(s): R. Besson, G. Corda, N. Matevski, E. Martinez, E. Spaggiari, N. Fries, Y. Oyelese, A. Fishman, A.C. Combs, R. Chaoui, J. Stirnemann, Y. Ville
Published in: Ultrasound in Obstetrics & Gynecology, Issue 64, 2024, ISSN 0960-7692
Publisher: Wiley
DOI: 10.1002/uog.27765

EP02.43: Performance of an AI software for standard heart planes extraction from heart clips: study proposal

Author(s): A. Ranzini, Y. Oyelese, K. R. Faulk, M. Flinn, R. Besson, V. Debavelaere, F. Loge, C. Amabile, E. Spaggiari, J. Stirnemann, Y. Ville
Published in: Ultrasound in Obstetrics & Gynecology, Issue 62, 2024, ISSN 0960-7692
Publisher: Wiley
DOI: 10.1002/uog.26658

EP01.04: Improving early gene detection using a new bioinformatics tool specific to prenatal phenotyping: a case study on CHARGE syndrome

Author(s): C. Chantry‐Darmon, R. Besson, E. Spaggiari, R. Choy, J. Stirnemann, M.D. Kilby, Y. Ville
Published in: Ultrasound in Obstetrics & Gynecology, Issue 64, 2024, ISSN 0960-7692
Publisher: Wiley
DOI: 10.1002/UOG.28019

Development and clinical validation of real‐time artificial intelligence diagnostic companion for fetal ultrasound examination

Author(s): J. J. Stirnemann, R. Besson, E. Spaggiari, S. Rojo, F. Loge, H. Peyro‐Saint‐Paul, S. Allassonniere, E. Le Pennec, C. Hutchinson, N. Sebire, Y. Ville
Published in: Ultrasound in Obstetrics & Gynecology, Issue 62, 2023, ISSN 0960-7692
Publisher: Wiley
DOI: 10.1002/UOG.26242

Intellectual Property Rights

Patent (2)

STANDARD PLANE DETECTION IN A MEDICAL IMAGE

Application/Publication number: 23 305554
Date: 2023-04-13
Applicant(s): SONIO

REAL-TIME DIAGNOSIS AID METHOD AND DECISION-SUPPORT FOR MEDICAL DIAGNOSIS TO A USER OF A MEDICAL SYSTEM

Application/Publication number: 20 1916692137
Date: 2019-11-22
Applicant(s): SONIO