Importance Noninvasive retinal imaging may detect structural changes associated with
Parkinson disease (PD) and may represent a novel biomarker for disease detection …

Introduction Discovering non‐invasive and easily acquired biomarkers that are conducive to
the accurate diagnosis of dementia is an urgent area of ongoing clinical research. One …

Background/Aims To develop a convolutional neural network (CNN) to detect symptomatic
Alzheimer's disease (AD) using a combination of multimodal retinal images and patient data …

Machine learning models that can accurately distinguish those with symptomatic Alzheimer's
dementia from those with mild cognitive impairment and normal cognition as well as predict …

Purpose To assess choroidal structural parameters in symptomatic Alzheimer disease (AD),
mild cognitive impairment (MCI), and cognitively healthy control subjects. Design …

Purpose To compare radial peripapillary capillary (RPC) plexus vascular parameters and
retinal nerve fiber layer (RNFL) thickness between those with Parkinson's disease (PD) and …

Purpose To analyze practice patterns, microbiologic yield, and clinical outcomes in cases of
presumed infectious endophthalmitis at a single tertiary academic referral center. Design …

Purpose: Retinal microvascular abnormalities measured on retinal images are a potential
source of prognostic biomarkers of vascular changes in the neurodegenerating brain. We …

Purpose To assess the baseline differences and longitudinal rate of change in retinal and
choroidal imaging parameters between apolipoprotein ε4 (APOE ε4) carriers and …

Purpose To quantify rate of change of retinal microvascular and choroidal structural
parameters in subjects with Parkinson's disease (PD) compared with controls using OCT …