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.
Predicting brain structural network using functional con-nectivity[J]
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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.