The goal of this study is to determin the MRI features associated with cerebral palsy and to develop prediction models of pediatric disorders by combining MRI with artificial intelligence. The main questions it aims to answer are: * How to achieve features on conventional MRI associated with cerebral palsy? * How to predict the risk of cerebral palsy in infants aged 6 to 2 years based on conventional MRI and deep learning? Researchers will compare characteristics of periventricular white matter injury with cerebral palsy to those without cerebral palsy. Participants will be asked to provide MRI data, clinical diagnoses information, and follow-up outcomes.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Accuracy of the model predicting cerebral palsy
Timeframe: From September 2024 to December 2025