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Articles 1 - 3 of 3
Full-Text Articles in Eye Diseases
Association Between Food Insecurity And Chronic Eye Disease In The National Institutes Of Health's All Of Us Research Program, Ramin Talebi, Fei Yu, Victoria L. Tseng, Anne L. Coleman
Association Between Food Insecurity And Chronic Eye Disease In The National Institutes Of Health's All Of Us Research Program, Ramin Talebi, Fei Yu, Victoria L. Tseng, Anne L. Coleman
SKMC Student Presentations and Publications
Purpose
Food insecurity is a potential risk factor for visual impairment; however, its association with specific eye diseases remains unknown. This study aims to examine the association between food insecurity and chronic eye diseases including glaucoma, age-related macular degeneration (AMD), diabetic retinopathy (DR), and cataracts.Design
Cross-sectional.Participants
Participants of the All of Us (AoU) Research Program, who had electronic health record data and responded to survey questions regarding food insecurity.Methods
Population-based. Multivariable logistic regression was used to examine associations between food insecurity and each eye disease.Main Outcome Measure(s)
Primary outcomes included glaucoma, AMD, DR, or cataracts, based …Comparison Between Maia And Mp-3 In Healthy Subjects And Patients With Diabetes, Diabetic Retinopathy, And Age-Related Macular Degeneration, Anna Marmalidou, Haleema Siddiqui, Muhammad Usman Jamil, Kwang Min Woo, Antonio Yaghy, A. Yasin Alibhai, Hiroyuki Takahashi, Stephanie Kaiser, Keith Effert, Peter Zhao, Shilpa Desai, Christopher Robinson, Jay Duker, Nadia Waheed
Comparison Between Maia And Mp-3 In Healthy Subjects And Patients With Diabetes, Diabetic Retinopathy, And Age-Related Macular Degeneration, Anna Marmalidou, Haleema Siddiqui, Muhammad Usman Jamil, Kwang Min Woo, Antonio Yaghy, A. Yasin Alibhai, Hiroyuki Takahashi, Stephanie Kaiser, Keith Effert, Peter Zhao, Shilpa Desai, Christopher Robinson, Jay Duker, Nadia Waheed
SKMC Student Presentations and Publications
PURPOSE: The purpose of this study was to assess the comparability of mean sensitivity (MS) values obtained using the Macular Integrity Assessment (MAIA; CenterVue S.p.A. [iCare], Padova, Italy) and Microperimeter-3 (MP-3; NIDEK CO., Ltd., Gamagori, Japan) microperimetry (MP) devices.
METHODS: This cross-sectional study includes subjects with healthy eyes, eyes with diabetes mellitus without diabetic retinopathy (DM no DR), diabetic retinopathy (DR), and non-exudative age-related macular degeneration (AMD). Patients underwent testing on both MAIA and MP-3 MP devices, using a 10-2 macular grid with 68 stimuli and identical parameters. A diagnosis-adjusted linear regression model and mixed modeling mapped MP-3 MS to …
Artificial Intelligence-Based Methodologies For Early Diagnostic Precision And Personalized Therapeutic Strategies In Neuro-Ophthalmic And Neurodegenerative Pathologies, Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Jeremy Saintyl, Jahnavi Yelamanchi, Robert Nahouraii, Ram Jagadeesan, Alireza Tavakkoli
Artificial Intelligence-Based Methodologies For Early Diagnostic Precision And Personalized Therapeutic Strategies In Neuro-Ophthalmic And Neurodegenerative Pathologies, Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Jeremy Saintyl, Jahnavi Yelamanchi, Robert Nahouraii, Ram Jagadeesan, Alireza Tavakkoli
SKMC Student Presentations and Publications
Advancements in neuroimaging, particularly diffusion magnetic resonance imaging (MRI) techniques and molecular imaging with positron emission tomography (PET), have significantly enhanced the early detection of biomarkers in neurodegenerative and neuro-ophthalmic disorders. These include Alzheimer's disease, Parkinson's disease, multiple sclerosis, neuromyelitis optica, and myelin oligodendrocyte glycoprotein antibody disease. This review highlights the transformative role of advanced diffusion MRI techniques-Neurite Orientation Dispersion and Density Imaging and Diffusion Kurtosis Imaging-in identifying subtle microstructural changes in the brain and visual pathways that precede clinical symptoms. When integrated with artificial intelligence (AI) algorithms, these techniques achieve unprecedented diagnostic precision, facilitating early detection of neurodegeneration and …