Pivotal Trial of an Automated AI-based System for Early Diagnosis and Prediction of Late Age-related Macular Degeneration
NCT07084883 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1076
Last updated 2025-08-28
Summary
The purpose of this study is to perform a pivotal trial of iPredict, an automated AI-based system for early diagnosis and prediction of late AMD in primary care and ophthalmology settings. Patients will be invited to participate in this study by having non-dilated photos of their eyes taken by an FDA approved fundus camera (DRSPlus from Centervue Inc., CA), at their primary care doctor's office or general ophthalmologist office. The photos will then be transmitted securely and analyzed by computer in the cloud (telemedicine features). Sufficient accuracy of the automatic system has been established compared to the ophthalmologist's diagnosis. In this study, we aim to validate the system against the prospectively taken OCT image and color fundus images.
Conditions
- Age-related Macular Degeneration (AMD)
Interventions
- DEVICE
-
No intervention.
No intervention. Evaluate the automated AMD screening software.
Sponsors & Collaborators
-
National Institutes of Health (NIH)
collaborator NIH -
National Eye Institute (NEI)
collaborator NIH -
iHealthScreen Inc
lead INDUSTRY
Principal Investigators
-
Alauddin Bhuiyan, PhD · iHealthScreen Inc
Eligibility
- Min Age
- 50 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-08-01
- Primary Completion
- 2027-07-31
- Completion
- 2027-07-31
Countries
- United States
Study Locations
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