Multimodal mri deep learning model

Intervention

1 paper1 finding

  • In silico1

Outcomes

1

Brain age prediction accuracy

upin silico1

1 study
  1. Multimodal mri deep learning model improves brain age prediction accuracy in silico (reducing MAEs by 10-76 % and enhancing robustness by 22-82 %).

    “Compared to single-modality models, the multimodal approach showed better generalization, reducing MAEs by 10-76 % and enhancing robustness by 22-82 %.”

    In silicobrain

    Predicting brain age with global-local attention network from multimodal neuroimaging data: Accuracy, generalizability, and behavioral associations

    Computers in biology and medicine17 Nov 2024

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