Exploring the potential of AI-driven brain–computer interfaces for Alzheimer’s disease: an integrated framework for diagnosis and therapeutic intervention
Early diagnosis and timely intervention are critical in Alzheimer's disease (AD), yet conventional assessments fail to capture longitudinal neural dynamics. Although traditional biomarker frameworks offer essential pathological insights, they remain constrained by high costs and restricted accessibility. Recent advance...
Sang Sun Han, Hyun-Chul Kim, Hyunju Lee et al.
· Alzheimer s Research & Thera... · 0 citations