AI eye scanner could prevent blindness in millions with diabetes
NCT ID NCT07151001
First seen Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 1 time
Summary
This study tests an artificial intelligence system called iPredict-DR that analyzes retinal photos to detect diabetic retinopathy, a leading cause of blindness. Researchers will enroll 922 adults with diabetes at primary care and endocrinology clinics. The AI's accuracy will be compared against human experts to see if it can reliably identify early signs of eye damage.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- iPredict-DR AI software
- What this could lead to
- If successful, this AI tool could allow routine screening for diabetic eye disease in primary care clinics, catching it early before vision loss occurs.
- What could go wrong
- This is a pivotal trial, but the AI must prove it matches expert ophthalmologists. If accuracy falls short, it may not be adopted widely.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 922 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jan 2025
- Expected to finish
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Jul 2027
An estimate. End dates often move.
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Study subjects will be enrolled at primary care practices (internal medicine clinics, endocrinology clinics).
- Ages
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22 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age of Subjects: Patients ≥ 22 years of age. * Gender of Subjects: Both males and females will be invited to participate. * Subjects with diabetes (A1C level ≥ 6.5). * Subjects must be willing and are able to comply with clinic visit, understand the study-related procedures/provisions, and provide signed informed consent. Exclusion Criteria: * Unable to understand the study, Our unable to or unwilling to sign the informed consent * Previously diagnosed with macular edema, any form of diabetic retinopathy, radiation retinopathy, or retinal vein occlusion * participants who are experiencing persistent vision loss, blurred vision, or other vision problems that should be evaluated by an eye care provider * subjects whose retinal images were used in training, validating, or developing the device * Currently participating in another investigational eye study or actively receiving investigational product for DR or DME. * A condition that, in the opinion of the investigator, would preclude participation in the study; * Contraindicated for imaging by fundus imaging systems used in the study because of hypersensitivity to light, recently underwent photodynamic therapy, or was taking medication that causes photosensitivity.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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iHealthScreen Inc.
RECRUITINGRichmond Hill, New York, 11418, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Could a work health check catch diabetic eye damage before it steals sight?
- New pill takes aim at blood sugar in diabetes
- Home c-peptide tests could reveal hidden insulin production in diabetes
- Brain scans may predict who is most at risk for dangerous low blood sugar
- Diabetes devices put to the test: can home monitors match lab accuracy?
- Eye scans as a window to the body: study probes retinal imaging across diseases