Scaling Brain Imaging Models for Real-World Clinical Use
Summary: New research from Yale demonstrates that predictive models connecting brain activity to behavior must generalize across diverse datasets to be clinically useful. By training models on varied neuroimaging datasets, the team showed that properly designed models can retain predictive accuracy even when applied to datasets with different demographic, geographic, and clinical profiles. This work … Read more