Lowering age of Cerebral Palsy detection and intervention

Unique AI-based medical tool for early prediction of Cerebral Palsy in infants allowing targeted intervention and treatment at an age when brain plasticity is still high.

About 1 per 500 baby is born with Cerebral Palsy. Users are hospitals, neonatal clinics and health stations around the globe.

Time consuming clinical evaluations are substituted with a fully-automated tool that records and analyze short videofootage of the child’s spontaneous movement patterns. A combination of General Movement Assessment (GMA) and machine learning, building on a big database of 1000 infant videos from 10 years of research and international collaboration.


  • Proof-of-Concept on Norwegian part of database with NPV of 97% and PPV of 67%
  • Seeking commercial distribution partners