- AI-READI: Rethinking Data Collection, Preparation, and Sharing for Propelling AI-based Discoveries in Diabetes Research and BeyondRead about the exciting AI-READI data generation project in this paper published in Nature Metaboiism. Cecilia and Aaron Lee are co-principal investigators of the Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) project, which has the goal of developing a multimodal dataset for AI-based research on type 2 diabetes mellitus (T2DM). Currently AI_READi …
- Vision impairment and dementia riskThe Lancet Commission on dementia has just published its 2024 update on dementia prevention, intervention, and care. This report highlights multiple risk factors for dementia that are considered to be "modifiable" - issues that can be targeted to reduce risk. For the first time, the report included vision impairment on the list, which also includes less …
- Standardization and clinical applications of retinal imaging biomarkers for cardiovascular disease: a Roadmap from an NHLBI workshopThis new paper, published in Nature Reviews Cardiology, reports findings and guidelines from a workshop conducted by the National Heart, Lung, and Blood Institute. The workshop aimed to identify the knowledge gaps and the opportunities for future research on using the eye as a window to systemic disease, including developing a roadmap for the use …
- Lee Lab in the news...A new research study from our lab was highlighted in the UW Medicine newsroom: Alzheimer’s vision study improved with home tests The new study, published in the Journal of Alzheimer's Disease, describes the inaugural cohort of the Eye ACT study,, which follows older adults with the goal of identifying retinal biomarkers of Alzheimer's disease and …
- Join the AI-READI Research Internship ProgramAI Ready and Equitable Atlas for Diabetes Insights (AI-READI) Research Internship Program (August 2024-July 2025) Overview AI-READI is funded by the National Institutes of Health (NIH) through the Bridge to Artificial Intelligence (Bridge2AI) program, a large trans-NIH initiative to generate new datasets for advancing artificial intelligence (AI). The program includes a yearlong mentored research internship aimed …
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- Evaluating Access to Laser Eye Surgery by Driving Times Using Medicare Data and Geographical MappingPreview in new tab In this innovative study published in JAMA Ophthalmology, Shaffer et al. used various data sources to investigate patients' access to laser eye surgery providers in several states which recently expanded laser surgery privileges to optometrists. Laser eye surgery has been traditionally limited to ophthalmologists, but optometrists have been advocating to perform …
- Race, Ethnicity, Insurance and Population Density Associations with Pediatric Strabismus and Strabismic Amblyopia in the IRIS® RegistryIn this paper published in Ophthalmology, Rajesh et al. evaluated sociodemographic and clinical factors and their association with the management and outcomes of strabismus (misalignment of the eyes) in children. Treatment for strabismus can be very successful if detected early. Previous studies have found that due to delayed diagnosis and/or unsuccessful treatment, certain groups of …
- Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional AnnotationsIn this paper, recently published in the journal Ophthalmology, Yue Wu and his co-authors developed a unique method for training a model to identify the retinal layers on optical coherence tomography images, with the key feature that the model works successfully on optical coherence tomography (OCT) images from a different OCT device than the one …
- Lee Lab launches AI-READI, a unique data generation projectAI-READI is part of the Bridge to Artificial Intelligence (Bridge2AI) program, a new initiative by the National Institutes of Health to expand the use of artificial intelligence in biomedical and behavioral research The National Institutes of Health (NIH) Common Fund has launched the Bridge2AI program to accelerate the widespread use of artificial intelligence (AI) by the biomedical …
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- Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT ImagingIn a new paper published in the journal Ophthalmology, Lee Lab members Yuka Kihara and Aaron Lee report the development of a novel deep learning approach to address a key problem in glaucoma research and treatment - predicting visual function from structural changes detected on optical coherence tomography (OCT). Physicians rely on visual field testing …
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