A vision-language model that treats brain subnetworks as image tokens and aligns them with words in clinical reports reaches 92.94% MCI accuracy on ADNI, but label leakage and uncontrolled baselines undermine the claim.
ACC: Accuracy; SEN: Sensitivity; SPE: Specificity; F1: F1-score Method Modality NC/MCI ACC% SEN% SPE% F1% (A) Single-Imaging Modality Study Shao et al
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Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis
A vision-language model that treats brain subnetworks as image tokens and aligns them with words in clinical reports reaches 92.94% MCI accuracy on ADNI, but label leakage and uncontrolled baselines undermine the claim.