Project Grant R01EY036593

Award Date 9/30/24
Completion Date 7/31/28
Dollars Obligated $629K
Federal Grant Program
93.867
Assistance Type
Project Grant
Place of Performance
Miami, FL 33136, USA
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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...
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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,...
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This Project Grant award from the National Eye Institute (CFDA 93.867 Vision Research) provides $628,531 to the University of Miami to validate and implement an artificial intelligence (AI) machine-to-machine (M2M) model for equitable glaucoma screening in underserved populations.

The key objectives are to: 1) refine the M2M model using large clinic and population-based datasets to ensure effective and equitable glaucoma screening across diverse groups; 2) implement the M2M model for opportunistic glaucoma screening at the Bascom Palmer Eye Institute's high-volume emergency room serving underserved communities; and 3) apply the M2M model for community-based glaucoma screening in underserved South Florida counties. The goal is to validate an equitable AI tool that can be integrated into diverse healthcare settings to promote early and accurate glaucoma diagnosis, especially for high-risk ethnic/racial groups. The project period runs from Sep 30, 2024 to Jul 31, 2028.

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