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AI2FUTURE2021 – 2 days, 20+ moving & inspiring discussion and presentations

14th & 15th of October 2021, Kraš Auditorium, Zagreb, Croatia
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TIS

Tomislav Strgar

AI Project Manager & ECM Business Unit Manager

Tomislav Strgar, AI Project Manager & ECM Business Unit Manager with 15 years of experience in ICT across various roles. He started as Java developer, continue as technical consultant and IBM DMS & BPM certified specialist working on PoC workshops, systems analysis, architecture and Java development issues resolving, business processes/workflows modeling. Last several years has focus on business development and project management but without leaving IT and technology overall. Since 2019 is researching AI field, preparing and managing AI project in Healthcare, SENDD, System for Early Neurological Deviation Detection.

Tomislav’s

Idea

SENDD AI system detects infant’s neurological disorders

During 2020, TIS started implementing a project in the field of artificial intelligence (AI) in healthcare called SENDD – a system for early detection of potential neurodevelopmental disorders in infants. The project is being developed in cooperation with the Dr. Sabol Polyclinic, and is co-financed by EU funds for research and innovation.

The result of this project will be 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.