Retinal OCTA Phenotyping with LLM Reporting for Alzheimer's Disease

Researchers have developed a method to analyze retinal optical coherence tomography angiography (OCTA) scans using large language models to assist in the early identification of Alzheimer's disease. This approach aims to replace more costly and resource-intensive screening tools with a non-invasive, potentially scalable technique for identifying neurodegenerative changes.