Record #343364 - GSI Repository

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

Grant period	2023-01-01 - 2024-12-31
Funding body	European Union
Call number	HORIZON-EIC-2022-ACCELERATOR-01
Grant number	190186381
Identifier	G:(EU-Grant)190186381

Note: 1 child out of 33 is born with a congenital malformation in developed countries, leading to mortality & disability which impact the children, the families & healthcare system. Fetal ultrasound is the standard non invasive examination to screen for malformations, but 50% of malformations are not detected at routine exams as fetal ultrasound is very complex, time-consuming & highly operator-dependent. One needs to acquire the right images, interpret them & combine them with blood or/and genetic tests to get the right diagnosis. We created Sonio, an AI one-stop modular software platform to guide OBGYNS & sonographers during fetal ultrasound. The core is the Clinical Brain, a unique mix between fetal medicine & AI, aware of 1.6k anomalies & 450 syndromes. It can prioritize anomalies to identify the most probable diagnoses based on medical history & observed phenotype. With EIC support, we will fully build image recognition & genomics into our platform to revolutionize prenatal diagnosis.

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Record created 2023-08-27, last modified 2023-08-27

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