Project Grant R50EY038047
- The National Eye Institute (NEI) awarded a $437,959 Project Grant to Oregon Health & Science University (OHSU) under the NEI's Vision Research federal grant program (CFDA 93.867) to develop, evaluate, and validate large language models (LLMs) for studying amblyopia treatment, adherence, and outcomes using real-world electronic health record (EHR) data. The project aims to enable more research on amblyopia, a common pediatric eye problem, as well as the development of clinical decision...
- This $231,000 Project Grant award from the National Eye Institute (NEI), under the federal Vision Research program (CFDA 93.867), will fund the development of a generalized deep learning platform to improve the objectivity, reproducibility, and accuracy of quantifying and assessing experimental autoimmune uveitis (EAU) - a valuable animal disease model for studying human uveitis. The project aims to generate high-quality, well-annotated multi-modal datasets from three independent research...
- This $244,379 Project Grant award from the National Eye Institute's Vision Research program (CFDA 93.867) supports research at the University of California, Los Angeles (UCLA) to explore how genetic variation influences disease progression and treatment response in age-related macular degeneration (AMD), a leading cause of vision loss. The project aims to leverage machine learning (ML) and artificial intelligence (AI) techniques to analyze optical coherence tomography (OCT) imaging data and...
- This federal Project Grant award of $598,108 from the National Eye Institute (CFDA 93.867 Vision Research) supports the development of innovative ophthalmic imaging technologies and novel objective, quantifiable functional biomarkers for cone photoreceptors. The primary aims are to: 1) Develop next-generation optical coherence tomography (OCT) technologies to enable functional photoreceptor imaging over a wide retinal area and at high topographical resolution; and 2) Develop novel objective,...
- This federal Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) provides $654,455 to The Leland Stanford Junior University to develop fair and generalizable artificial intelligence (AI) algorithms for predicting glaucoma progression. The goal is to address racial/ethnic disparities in the performance of these AI models, which disproportionately impact minority populations. The research involves comparing fairness-aware algorithm training methods, evaluating model...
- This $459,286 Project Grant award from the National Eye Institute's Vision Research program (CFDA 93.867) supports the development of clinically-motivated and explainable machine learning-based image classifiers to detect trachoma, a leading infectious cause of vision loss worldwide. The primary objectives are to: 1) create a smartphone-based application to standardize trachoma image acquisition and identify low-quality images, 2) improve the performance of an existing machine learning model...
- This Project Grant award from the National Eye Institute (NEI), under the Vision Research federal grant program (CFDA 93.867), is providing $306,462 to Ifocus Imaging LLC to develop a software platform called OCT-ART-DR. The platform will automate the diagnosis and staging of diabetic retinopathy using optical coherence tomography angiography (OCTA) imaging and artificial intelligence. The key products to be delivered under this award include: 1) Improved AI-based segmentation of OCTA image...
- This Project Grant award from the National Eye Institute's Vision Research program (CFDA 93.867) provides $179,964 to the University of California, Irvine (UCI) to develop innovative biomarkers for optic neuropathies using deep learning-based analysis of optical coherence tomography (OCT) imagery. The project aims to overcome limitations of current OCT-based diagnostics by employing advanced computational techniques like deep learning, neural fields, and geometric modeling to enhance the...
- This Project Grant award of $493,642, provided by the National Eye Institute (CFDA 93.867 - Vision Research), supports a research project to identify and locate geographic clusters of vision and eye health problems using secondary surveillance data. The key products and services to be delivered under this award include: Developing an application to access public use files from the CDC-funded Vision and Eye Health Surveillance System (VEHSS) to conduct scan statistical analyses and report...
- This Project Grant award from the National Eye Institute (NEI), under the federal Vision Research program (CFDA 93.867), provides $247,387 to Stanford University to establish a comprehensive strategy for recruiting, training, and retaining clinician-scientists in ophthalmology research. The overarching objectives are to educate and develop the next generation of clinician-scientists focused on vision-related diseases and disorders, and to enhance research capabilities within ophthalmology...
This Project Grant award from the Department of Health and Human Services' National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) provides $151,774.00 to Oregon Health & Science University (OHSU) to develop software tools that can create standardized multimodal electronic health record (EHR) datasets for advancing ophthalmic research using artificial intelligence (AI). The project aims to address the challenges posed by inconsistencies and lack of standardization in EHR data, which hinder leveraging this information for research and clinical applications in ophthalmology. The tools being developed will utilize natural language processing (NLP) and large language models (LLMs) to enhance data quality, extract key clinical concepts, and standardize multimodal EHR datasets. These capabilities are intended to support tasks such as predicting disease progression, improving clinical workflow efficiency, and enabling data harmonization for multicenter ophthalmic research. The project period runs from September 15, 2025 to May 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $151.8k | 9/4/25 |