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Improving Predictive Model Reliability in Neuroimaging

Current predictive models in neuroimaging studies often lack external validation, which can lead to issues with generalizability, replicability, and reproducibility. This limitation can hinder the advancement of neuroimaging research and its applications. External validation using independent datasets is crucial to address this challenge.

Science, Medicine, Neurology