Early Prediction of Cerebral Palsy by MRI in Infants With White Matter Injury: a Multicenter Study
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.
A multicenter, randomized, double-blind, positive drug parallel-controlled clinical trial of Yangxindingji capsule for the treatment of premature ventricular contractions (with or without bradyarrhythmia)
A multicenter, randomized, double-blind, positive drug parallel controlled clinical trial of Guanxinning tablets in the treatment of stable exertional angina (blood stasis syndrome)
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