Alzheimer's Disease

A research team proposed a diagnostic framework using the Large Brain Model (LaBraM), pretrained on over 2,500 hours of EEG data, combined with a non-linear Random Forest classifier to diagnose Alzhei…

A new AI model using Multi-View Gated Graph Attention Networks achieved 90% accuracy in detecting Alzheimer's disease through spontaneous speech analysis on the ADReSSo dataset. The model integrates s…