eHealth application and AI-solutions for early detection of cerebral palsy in newborns - based on home video recordings for general movement assessment
BackgroundEarly detection of cerebral palsy (CP) is essential to initiate timely intervention andimprove long-term outcomes for infants at risk. The General MovementsAssessment (GMA) is a well-established tool for early identification of CP, yet itsimplementation in routine clinical practice faces challenges related to access andscalability.AimThis thesis explores the use of GMA as a screening too
