Sonio, the MedTech company specializing in women’s and children’s health, today announces soniopedia: A New Era in Prenatal Training.
soniopedia, which is not a medical device, allows health professionals to have access to a probabilistic artificial intelligence model that has been trained on fetal medicine databases such as Omim, Orphanet or even HPO. It simulates real cases, guiding healthcare professionals from initial ultrasound findings to potential genetic implications.
The innovative cloud-based solution is designed to simplify the access to curated and up-to-date database which links:
4684 malformations
1177 clinical signs
479 syndromes
Sonio and the Ecole Polytechnique jointly filed a patent following the research doctorate of Rémi Besson, co-founder of Sonio, within the obstetrical department of Professor Yves Ville at the Necker Hospital (AP-HP), for a solution that relies on artificial intelligence to support clinical expertise and go beyond the capabilities of the human brain.
Unveiled during the FMF World Congress bringing together more than 3,000 specialists in maternal-fetal medicine and obstetricians-gynecologists , the solution is capable of managing in real-time at least 3700 possible combinations to simulate the correct diagnosis. The solution takes into account several types of data: signs visible on ultrasound, medical history, risk factors and genetic information.
Remi Besson, co-founder of Sonio, says “At Sonio, we are deeply committed to advancing prenatal health through innovation. Soniopedia is primarily a training and educational tool that leverages artificial intelligence to simulate complex diagnostics, providing practitioners with in-depth clinical expertise on rare cases. Our goal is to bridge the gap between theory and practice while promoting interdisciplinary collaboration. We aim to ensure that women worldwide have access to superior prenatal care. ”
