Artificial Intelligence for prenatal diagnosis
The physicians' companion during diagnostic ultrasounds
Sonio leverages on Artificial intelligence to help those healthcare professionals secure prenatal screening and diagnosis
![excellence-medicale-01](https://lp.sonio.ai/hs-fs/hubfs/excellence-medicale-01.png?width=100&height=100&name=excellence-medicale-01.png)
Medical Excellence
Sonio is the result of 5 years of research and collaboration between experts in fetal medicine and artificial intelligence. Its goal is to support the analysis of practitioners in prenatal screening and diagnosis.
![reassurance-01](https://lp.sonio.ai/hs-fs/hubfs/reassurance-01.png?width=100&height=100&name=reassurance-01.png)
Safety
Sonio indicates the anomalies to look for and provides a smart checklist.
![securite-01](https://lp.sonio.ai/hs-fs/hubfs/securite-01.png?width=100&height=100&name=securite-01.png)
Security
Guided by Sonio, the practitioner combines many risk factors and signs visible on ultrasound with nearly 300 prenatal syndromes. (1)
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Optimization of the care pathway
A software for prenatal screening and diagnosis, Sonio allows clear, comprehensive and contextualised data to be shared between Health Care Providers.
Why use Sonio in your practice?
Facing a multitude of signs and possible diagnoses, practitioners involved in prenatal diagnosis face a strenuous task. This can lead to errors, delays in diagnosis, deteriorating the patients’ experience and sometimes even baby’s chances.
Being able to diagnose a rare syndrome is essential...
But ruling out a rare disease when an anomaly has been detected is crucial to your daily practice
![Maman et nouveau né](https://lp.sonio.ai/hubfs/Maman%20et%20nouveau%20n%C3%A9.jpg)
Sonio can help ruling out a Syndrome
Request a demo
![montage-sonio montage-sonio](https://lp.sonio.ai/hubfs/montage-sonio.jpg)
Some key figures
300
Recognisable syndromes (1)
700
Recognisable signs (1)
70
Prenatal diagnosis practitioners have already adopted it
1 Stirnemann J, Besson R, Spaggiari E et al. Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination. 2021. doi:10.1101/2021.05.25.21257630