Creating a dataset for Age-Related Macular Degeneration imaging
Official title: Age-Related Macular Degeneration Benchmark Imaging Dataset (ABID)
Run by University of Wisconsin, Madison · NCT06924021 · Data updated 2026-11-12
This study is collecting eye images from people aged 50 and older to see if a new AI tool can help spot early signs of Age-Related Macular Degeneration and prevent vision loss.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | University of Wisconsin, Madison Academic / other |
| Locations | 15 sites (Atlanta, Georgia and 14 other locations) |
| Status | Recruiting |
| Started | May 12, 2025 |
| Main results expected | June 2027 |
| Study ends | June 2027 |
| Registry record updated | October 30, 2026 |
| Trial ID | NCT06924021 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals aged 50 and older with either healthy eyes or any stage of Age-Related Macular Degeneration.
✕Probably not a fit
Patients currently undergoing therapeutic treatment for AMD or those with severe vision loss requiring urgent surgery may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study involves 1000 participants aged 50 and older from up to 25 international locations, who will provide retinal images to create a benchmark dataset for Age-Related Macular Degeneration (AMD). The goal is to develop an Artificial Intelligence (AI) based screening tool that can identify early stages of AMD, which is crucial for preventing vision loss. Participants can either have healthy eyes or a diagnosis of AMD, and their images will be used to validate AI models for effective screening. The study aims to address the challenges in enrolling sufficient cases for prospective validation of these screening tools.
Why it matters
Potential benefit: If successful, this study could lead to the development of an AI tool that improves early detection of Age-Related Macular Degeneration, potentially preventing vision loss.
How similar studies have gone: Other studies have shown promise in developing AI-based screening tools for AMD, indicating that this approach has potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Participants greater than or equal to 50 years of age at time of signing Informed Consent Form * Willing to comply with all study procedures and sign the Informed Consent Form (ICF) * Individuals with normal healthy eyes or diagnosed with any stage of Age-Related Macular Degeneration (treatment naïve patients with early, intermediate, or late AMD). The diagnosis and eligibility review will be confirmed by Central Reading Center. Exclusion Criteria: * Therapeutic treatment for any type of AMD, in either eye. Supplements, such as AREDS2 formula, are allowed. * Unable to acquire adequate quality images, as evaluated by the Central Reading Center * Severe vision loss requiring urgent surgery * Contraindicated for acquiring retinal images due to narrow anterior chamber angles or hypersensitivity to light * A systemic or ocular condition that in the opinion of the Investigator would preclude participation in the study * Unwilling to sign informed consent form * Currently or previously enrolled in an interventional AMD clinical trial
Where it's running
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Emory University
Atlanta, Georgia, United States Recruiting -
Bergstrom Eye Research LLC
Fargo, North Dakota, United States Recruiting -
Erie Retina Research
Erie, Pennsylvania, United States Recruiting -
Retina Foundation of the Southwest
Dallas, Texas, United States Recruiting -
Valley Retina Institute
McAllen, Texas, United States Recruiting -
Retina Consultants of Texas (Houston)
The Woodlands, Texas, United States Recruiting
Show 9 more locations
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University of Utah - John A. Moran Eye Center
Salt Lake City, Utah, United States Recruiting -
University Station Eye Care Clinic
Madison, Wisconsin, United States Recruiting -
Adelaide Eye and Retina Centre
Adelaide, Australia Recruiting -
Sankara Nethralaya, Medical Research Foundation
Chennai, Tamil Nadu, India Recruiting -
Aravind Eye Hospital
Chennai, Tamil Nadu, India Recruiting -
Aga Khan University
Karachi, Pakistan Recruiting -
Kim Eye Hospital
Seoul, South Korea Recruiting -
Charles Research Center
Buenos Aires, Argentina Not yet recruiting -
University of Bonn - Department of Ophthalmology
Bonn, Germany Not yet recruiting
Study contacts
- Principal investigator: Amitha Domalpally, MD, PhD — UW School of Medicine and Public Health
- Study coordinator: Wisconsin Reading Center
- Email: wrc.support@wisc.edu
- Phone: 1-608-262-1334
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Understanding Age-Related Macular Degeneration and Its Progression
This study looks at how age-related macular degeneration develops and progresses by comparing people with the condition to healthy individuals, using non-invasive tests and personal feedback.
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Predicting Risk of AMD Progression Using Imaging in Aging Eyes
Researchers are test a new screening approach to detect early AMD and monitor its progression in adults 55 and older, to see if personalized monitoring can help in community settings.
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C.001 for retinal degeneration: a first-in-human dose-escalation safety test
A first-in-human study will test the safety and tolerability of a single subretinal injection of C.001 in adults with retinal diseases involving retinal pigment epithelium degeneration.
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We will test whether central microperimetry and radial OCT scans can more accurately measure how geographic atrophy progresses toward the fovea in people with or at risk for GA from age-related macular degeneration.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.