This federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) provides $881,796 to Siloam Vision, Inc. to develop two advanced, laser-based, AI-enabled retinal imaging systems. The key innovations are: A wider field-of-view camera design that can be paired with either a scanning laser ophthalmoscope (SLO) or optical coherence tomography (OCT) system, offering 2D or 3D imaging, respectively. This aims to address an unmet need in retinopathy...
The National Eye Institute (NEI), under the federal Vision Research program (CFDA 93.867), awarded a $300,001 Project Grant to Kineolabs, Inc. in Billerica, MA. The objective of this 1-year grant, which runs from July 1, 2025 to June 30, 2026, is to develop a portable, low-cost line-scan swept-source optical coherence tomography (LS-SS-OCT) imaging system. This system is intended for early detection and monitoring of age-related macular degeneration (AMD), diabetic retinopathy, and other eye...
The National Eye Institute (NEI) awarded Kennesaw State University a $179,440 Project Grant (CFDA 93.867 Vision Research) to develop a smartphone-based retinal imaging system for diabetic retinopathy (DR) screening in Egypt. The project aims to create a portable, cost-effective retinal imaging device that can be attached to smartphones, and then develop deep learning algorithms to analyze the resulting images for DR detection. The initial R21 phase will focus on establishing the feasibility of...
The National Eye Institute (NEI) awarded a $459,286 Project Grant under the Vision Research program (CFDA 93.867) to the University of Vermont & State Agricultural College to develop clinically-motivated and explainable machine-learning-based image classifiers to detect trachoma, a leading infectious cause of vision loss worldwide. The key products and services to be delivered under this 5-year grant include: Development of a smartphone-based application to standardize tarsal plate imaging...
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 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 (NEI) under the Vision Research program (CFDA 93.867) is supporting the development of equitable deep learning models for automated glaucoma screening. The $754,779 award, with a performance period from Sep 30, 2024 to Jul 31, 2029, aims to assess the performance equity of existing deep learning models, develop identity-conditioned generative models to improve data equality, and create fair identity normalization techniques to equalize...
The National Eye Institute (NEI) awarded a $624,379 federal Project Grant (CFDA 93.867 - Vision Research) to The Johns Hopkins University to develop an objective tool for evaluating the visual accessibility of indoor spaces. The project aims to create a smartphone app that can 1) visualize an environment for a specified level of vision impairment, 2) identify hazardous features, and 3) generate visibility metrics to quantify object visibility. The tool will be developed and validated through...
This federal 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 machine-to-machine (M2M) model for equitable glaucoma screening in underserved populations. The M2M model aims to provide objective, quantitative assessments of glaucomatous damage from low-cost fundus photography, overcoming limitations of existing imaging technologies. The project will refine the M2M...
The National Eye Institute (NEI) awarded a $193,168 Project Grant (CFDA 93.867 Vision Research) to Duke University to develop a novel, auto-aligning hand-held optical coherence tomography (OCT) and OCT angiography (OCTA) probe for routine and repeatable high-quality retinal imaging in infants and children. The research aims to address the challenges associated with obtaining consistent OCT and OCTA data capture in uncooperative pediatric patients. The expected outcomes include a set of...