- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Health Literacy and Information Accessibility
- Retinal Development and Disorders
- Systemic Lupus Erythematosus Research
- Topic Modeling
- Optical Coherence Tomography Applications
- melanin and skin pigmentation
National Eye Institute
2022-2025
National Institutes of Health
2024-2025
Purpose: To examine relationships between retinal structure and visual function in geographic atrophy (GA) by analyzing spatial agreement absolute scotomas macular structure, focusing on (1) choroidal hypertransmission, a key feature of complete pigment epithelium outer (cRORA), (2) fundus autofluorescence (FAF)–defined GA. Methods: Mesopic microperimetry (using novel T-shaped pattern) multimodal imaging were recorded longitudinally phase II GA trial. Horizontal vertical optical coherence...
Despite the potential of Large Language Models (LLMs) in medicine, they may generate responses lacking supporting evidence or based on hallucinated evidence. While Retrieval Augment Generation (RAG) is popular to address this issue, few studies implemented and evaluated RAG downstream domain-specific applications. We developed a pipeline with 70,000 ophthalmology-specific documents that retrieve relevant augment LLMs during inference time. In case study long-form consumer health questions,...
Purpose: This study aimed to develop an algorithm for automated detection of drusenoid pigment epithelial detachments (DPEDs) in optical coherence tomography (OCT) volumes patients with age-related macular degeneration (AMD) and compare its performance against traditional reading center grading on color-fundus photographs (CFPs). Methods: Eyes a range AMD severities, excluding neovascular disease, were imaged using spectral-domain OCT (SD-OCT) paired CFPs followed annually up 5 years. DPEDs...
Purpose: This work investigates a semi-supervised approach for automatic detection of hyperreflective foci (HRF) in spectral-domain optical coherence tomography (SD-OCT) imaging. Starting with limited annotated data set containing HRFs, we aim to build larger and then more robust model. Methods: Faster RCNN model object was trained manner whereby high confidence detections from the current iteration are added training subsequent iterations after manual verification. With each size is...
Purpose: This work aims to identify areas with sub-retinal-pigment-epithelium (sub-RPE) accumulations on 2- dimensional (2D) color-fundus-photographs (CFPs) in patients age-related macular degeneration (AMD) using the definitions spectral-domain-optical-coherence-tomography (SD-OCT) imaging. Detecting and quantifying of RPE elevations (most notably drusen) CFPs will aid objective evaluation AMDseverity-scores as well patient selection monitoring clinical trials. Methods: A...