The result of this project is a unique solution for assessing the quality of spontaneous movements in early infancy for the purpose of detecting and screening infants at high risk of neurodevelopmental abnormalities or expected normal outcome in a group of neuro risky children.

The system is based on artificial intelligence technology, more precisely computer vision for recognizing children's poses, and trained neural networks for concluding the quality of movement, that follow medically proven method and classification of spontaneous movement quality assessment according to prof. M. Hadders-Algra, MD, PhD. The project is also open to the public and can be accessed by all interested parents of children aged 1.5 to 3.5 months with the voluntary provision of a video of the child's fidgeting to assess the quality of spontaneous movements.

More details about the project can be found at www.sendd.eu.

The project itself is part of the activities of TIS's internal AI/ML team, which was formed as a result of TIS's efforts for strong involvement in the field of artificial intelligence through the development of world-renowned unique solutions in this field. Also, TIS is an active member of the Croatian AI community (CroAI), and supports domestic initiatives for stronger adoption of artificial intelligence through the education of its own employees in this area.