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Teng-Xiao Wang

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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. · 0 citations

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