Cerebral palsy (CP) is the most common cause of physical disability in childhood. Children with CP has a life-long needs for special services and CP is therefore a huge burden for the child and it’s family. This project will introduce a new ground-breaking artificial intelligence system, called the DeepInMotion system, for early detection of CP. DeepInMotion will identify characteristics in the infant spontaneous movements at 12-18 weeks post term age which are indicator for later development of CP. In Norway, CP are diagnosed between 1-2 years age even though the brain injury causing CP occurs before, during or directly after birth. Thus, early detection of CP before 5 months of age will provide opportunities for earlier onset of therapies and treatments in the period when plasticity of the infant brain is at its highest. Today, early detection of CP is performed in clinics by a subjective and a qualitative movement analysis. However, these early detection methods need highly qualified clinicians with long experience to be reliable and, thus, lack of widespread adoption among clinical teams. By developing an easy-to-use smartphone-based system, this project will provide a low-cost health care service reducing inequalities within and among countries and providing equal rights for health care services. DeepInMotion will improve help and support to clinicians and primary care givers in a safe and efficient manner and, thus, meeting the requirements of UN sustainable developmental goals. The DeepInMotion project will utilize one of the largest international database of videos of high-risk infants, administrated by St Olavs Hospital in Norway, to develop the next generation of artificial intelligent systems for infant care. The DeepInMotion project consist of an international unique interdisciplinary group of computer scientists, human movement scientists, physiotherapists and clinical specialists. The DeepInMotion is a collaboration project between three departments at NTNU, Norwegian Open AI lab and two clinics at St Olavs and Ålesund hospitals. DeepInMotion project is funded by Norwegian research council in the periode 2021-2015 and related to ongoing projects on general movement assessment.
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Department of Neuroscience, University of Copenhagen
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Department of Computer Science, Aalborg University
Pediatrics/Neonatology, Emory University School of Medicine and Children's Healthcare of Atlanta