Computer based video analysis to predict cerebral palsy in high-risk infants - Department of Clinical and Molecular Medicine
General Movement Assesment
Observations of infants' spontaneous movement patterns at 3 months of age after term are made by a method called General Movement Assessment (GMA). This method can predict whether or not the child is at very high risk of CP. The method requires special training and can be challenging to apply in clinical practice.
We are studying how a computer program can be used to analyze infants' movements in a video film in order to select the children at highest risk of CP.
Today we are collaborating with Norwegian Open AI Lab (Research Center for Artificial Intelligence) and Department of Computer Science. We use modern image analysis methods in the development of such computer programs. The aim is to offer the children who need it a closer follow-up with the possibility of interventions and training programs.
It can often take a long time from the documentation of new research until the new knowledge is applied in regular patient care. We want to have a special focus on shortening this time, and actively work to ensure that new knowledge is used in health care for sick infants. You can watch our animated scientific video of what our researchers are working on at the top of this website.