Automated Retinal Image Analysis System (EyeQuant) for Computation of Vascular Biomarkers
NCT04567745 · Status: COMPLETED · Phase: PHASE1 · Type: INTERVENTIONAL · Enrollment: 80
Last updated 2021-11-01
Summary
This study aims to provide clinical validation of EyeQuant, a fully automated retinal image analysis system for computation of vascular biomarkers indicative of cognitive disorders, using retinal fundus photographs collected from patients with mild cognitive impairment, Alzheimer's disease, and vascular dementia.
Conditions
- Mild Cognitive Impairment
- Alzheimer Disease
- Vascular Dementia
Interventions
- DIAGNOSTIC_TEST
-
Retinal fundus photography
Fundus photographs
Sponsors & Collaborators
-
Eyenuk, Inc.
collaborator INDUSTRY -
Malavika Bhaskaranand PhD
collaborator UNKNOWN -
Kaushal Solanki
collaborator UNKNOWN - lead OTHER
Principal Investigators
-
Oana Dumitrascu, MD · Mayo Clinic
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-09-29
- Primary Completion
- 2021-09-30
- Completion
- 2021-09-30
Countries
- United States
Study Locations
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