Open access
Sep 2026
A multimodal machine-learning diagnostic model for Alzheimer’s disease: integrating OCTA-derived retinal microvascular features and clinical variables
Findings provide proof-of-concept evidence that OCTA-derived retinal microvascular features, particularly when combined with selected clinical variables, may help distinguish clinically diagnosed AD from HC in this selected case–control cohort.
Qi-Feng Zhou, Zhong-Ping Tian, Wei Zhao et al.
· Frontiers in Aging Neuroscie... · 0 citations