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Predicting Neurodevelopment in Very Preterm Infants Using Thalamic MRI Features and Machine Learning

Trimarco, Emiliano2026

… Finally, we employed Brain Age Gap Estimation (BrainAGE) based on thalamic volume to quantify delays in thalamic growth in very preterm infants compared to those born at term. Successively, we developed a machine learning classification model using BrainAGE analysis results, achieving 82% …

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