AI eye test could revolutionize diabetes care
NCT ID NCT04624737
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether artificial intelligence (AI) can help doctors better predict how diabetic retinopathy (an eye disease from diabetes) will progress. Over 3,000 adults with diabetes were followed for about 2 years. The goal was to create a smarter system that uses eye images and patient data to improve treatment decisions.
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.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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3,183 people
The number who actually took part.
- Started
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Dec 2020
- Finished
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Dec 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * patient with type 1 or type 2 diabetes or other, * aged 18 years or more, * diabetes duration greater than 10 years for type 1 diabetes, * patient affiliated to social security, * women of childbearing potential who are unwilling or unable to use a method to avoid pregnancy; women who are pregnant or breastfeeding can be included in the study. Exclusion Criteria: * ungradable fundus photography or OCT/OCTA imaging in both eyes, * previous treatment with vitrectomy in both eyes, * participant is unable or unwilling to comply with study procedures (including foreign language speakers who are not assisted by a native language speaker), * Gestational diabetes vulnerable participants (minors, legally detained), * patients under legal protection (guardianship), * prisoners or subjects who are involuntarily incarcerated, * patients with untreated or treated proliferative DR and macular edema involving the center of the macula in both eyes or with panretinal photocoagulation and untreated or treated macular edema involving the center of the macula in both eyes.
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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.
Contacts and locations
Locations
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CHU de NICE HÔPITAL PASTEUR 2
Nice, CS 51069_06001, Nice cedex1, France
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Centre Broca / Mutuelle Generale
Paris, 75013, France
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Chic Creteil
Créteil, 94010, France
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Chu Avicenne
Bobigny, 93000, France
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Chu Bordeaux
Bordeaux, 33000, France
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Chu Brest
Brest, 29200, France
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Chu Dijon
Dijon, 21000, France
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Chu Lariboisiere
Paris, 75010, France
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Chu Lyon Croix Rousse
Lyon, 69317, France
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Chu Pitie Salpetriere
Paris, 75013, France
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Clinique Monticelli
Marseille, 13008, France
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Clinique ophtalmologique du CHU de Nantes
Nantes, 44000, France
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Fondation Rothschild
Paris, 75019, France
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Hôpital des 15-20
Paris, 75571, France
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- AI eye doctor: could software catch diabetic blindness sooner?
- Can eye scans reveal hidden clues about diabetes damage?
- AI could predict which eye treatments work best for Diabetes-Related vision loss