Rémi Besson is co-founder of Sonio, a company providing solutions for fetal ultrasound practitioners to improve the quality and efficiency of routine and expert exams.
Congenital anomalies affect one in 33 births in developed countries. In 50 per cent of cases, ultrasound does not identify detectable anomalies. Besson’s main innovation is focused on enhancing prenatal diagnosis through technological innovation, medical expertise, and collective intelligence, adding clinical value in complex cases.
The platform relies on artificial intelligence to support clinical practitioners by exploring 3,700 possible combinations, taking into account a myriad of data: visible signs on ultrasound, medical history, risk factors, and genetic information in real-time. The AI-driven solution monitors ultrasound through 250 syndromes and 700 anomalies, enabling doctors to diagnose rare fetal anomalies typically difficult to notice during screening.
Besson leads the AI team at Sonio in developing the image processing algorithms and clinical information. With his master’s degree in mathematics from Paris Saclay University and Doctorate degree from the Applied Mathematics Laboratory of Ecole Polytechnique, he teamed up with Cécile Brosset to co-found Sonio. Thus far, two patents have been filed and Sonio has been selected by the European Innovation Council accelerator, one of the most competitive accelerators in the world.