SOURCE-LINKED INTELLIGENCE

Retinal OCTA Phenotyping with LLM Reporting for Alzheimer's Disease

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Early identification of Alzheimer's disease (AD) remains challenging because established assessment methods can be costly, resource-intensive, or unsuitable for population-scale screening. Optical coherence tomography angiography (OCTA) provides non-invasive visualization of retinal microvasculature, but existing approaches often require diagnostic labels and provide limited measurement-level interpretation. We present an explainable OCTA pipeline that integrates annotation-aware vessel segmentation, layer-specific vascular biomarker extraction, label-free phenotyping, and measurement-grounded

Read original source ↗ Open in workspace

recordType

paper

region

Global