This federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) provides $754,779 to develop equitable deep learning models for automated glaucoma screening. The project aims to assess the performance equity of existing deep learning models for glaucoma detection and develop novel equity-aware techniques, including fair identity scaling, identity-conditioned generative models, and fair identity normalization. These approaches aim to...
The National Eye Institute (NEI) awarded a $654,455 Project Grant under the Vision Research federal grant program (CFDA 93.867) to The Leland Stanford Junior University. The grant will fund a project titled "Improving Fairness and Reducing Bias in Artificial Intelligence Algorithms for Glaucoma" over a period of 5 years from January 1, 2025 to December 31, 2029. The project aims to develop fair and generalizable prediction algorithms for glaucoma progression using electronic health...
Aisight Health Inc. received a $479,580 Project Grant award from the National Institutes of Health's National Eye Institute to develop artificial intelligence tools to identify rapid glaucoma progression. The goal is to use machine learning models trained on over a decade of optical coherence tomography images, visual field tests, and clinical records for more than 9,000 glaucoma patients to more accurately and quickly determine which patients are likely to experience rapid vision loss from...
This National Eye Institute (NEI) Project Grant award (CFDA 93.867 - Vision Research) for $715,098 aims to enhance glaucoma risk prediction through advanced genomics and machine learning techniques. The key products and services to be delivered under this 5-year project include: Improving polygenic risk score (PRS) performance for glaucoma by leveraging enhanced electronic health record (EHR) data phenotyping using natural language processing (NLP) on over 68,000 patient records across two...
The National Eye Institute (NEI) has awarded a $466,125 Federal Project Grant (CFDA 93.867 - Vision Research) to Weill Medical College of Cornell University to develop and validate a new artificial intelligence approach to improve the fairness of predictive models for primary open-angle glaucoma (POAG) risk estimation. The project aims to study algorithmic bias in POAG risk prediction and examine the impact of transferring bias from a biased model to a demographically balanced dataset. The...
The National Eye Institute (NEI) awarded a $1,757,548 Project Grant (CFDA 93.867 Vision Research) to the University of Wisconsin-Madison to investigate an AI-based system that allows primary care providers to identify and address diabetic eye disease without the need for oversight by an eye care provider. The project, known as AI-Bridge, aims to improve eye screening and follow-up care rates, particularly among racial/ethnic minorities and socioeconomically disadvantaged communities. Key...
This $433,841 federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) supports the development of computational methods and deep learning models to analyze imaging data and identify biomarkers for age-related macular degeneration (AMD). The goal is to improve understanding of AMD disease progression and response to treatment. Specifically, the project will develop deep neural network models to analyze optical coherence tomography,...
The National Eye Institute (NEI), through its Vision Research program (CFDA 93.867), awarded a $881,796 Project Grant to Siloam Vision, Inc. to develop two advanced, laser-based, artificial intelligence (AI)-enabled retinal imaging systems. The primary goal is to address the unmet need for cost-effective and less stressful methods to diagnose and monitor retinopathy of prematurity (ROP), a leading cause of childhood blindness. The key innovations include: 1) A wider field-of-view camera design...
The National Center for Chronic Disease Prevention and Health Promotion, part of the Centers for Disease Control and Prevention (CDC), awarded a $1,500,000 Cooperative Agreement (CFDA 93.135 - Centers for Research and Demonstration for Health Promotion and Disease Prevention) to the University of Alabama at Birmingham (UAB) to implement an AI-based glaucoma screening program within Federally Qualified Health Centers. This 5-year award (9/30/2024 - 9/29/2029) will support UAB in designing,...
This $306,462 Project Grant awarded by the National Eye Institute (NEI) under the Vision Research federal grant program (CFDA 93.867) will fund the development of a software platform called OCT-ART-DR. The platform will automate the diagnosis and staging of diabetic retinopathy (DR), a leading cause of blindness, using optical coherence tomography angiography (OCTA) imaging and artificial intelligence (AI). The key products to be delivered include: 1) Improved AI-based segmentation of OCTA image...