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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

Alzheimer’s disease (AD) lacks widely accessible, noninvasive approaches for the evaluation of AD remain limited. We developed a multimodal machine-learning model that integrates retinal microvascular features derived from optical coherence tomography angiography (OCTA) with clinical variables to classify AD....

Qi-Feng Zhou, Zhong-Ping Tian, Wei Zhao et al. · 0 citations

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