AI reads eye photos to spot Diabetes-Related vision loss
NCT ID NCT04699864
First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence program called NeoRetina can accurately detect diabetic retinopathy and diabetic macular edema from simple eye photographs. Researchers will compare the AI's analysis to standard exams by eye doctors. The goal is to see if this AI can provide a fast, non-invasive screening option for people with diabetes.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- NeoRetina artificial intelligence algorithm
- What this could lead to
- If accurate, this AI could help screen for diabetic eye disease quickly and without pupil dilation, making early detection more accessible.
- What could go wrong
- This is a small, early validation study (24 participants). The AI may not perform as well as a specialist exam, and results may not apply to broader populations.
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
-
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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24 people
The number who actually took part.
- Started
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Jun 2024
- Finished
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Jul 2026
- 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.
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: 1. Patients of 18 years old and older; 2. Ability to provide informed consent; 3. Diagnostic for diabetes : 3a) Type 1 diabetes of a lest 5 years of evolution; or 3b) Type 2 diabetes; 4. Diabetic patient followed and refered by a physician of the Centre hospitalier de l'Université de Montréal (CHUM) : 4a) followed by an endocrinologist of the CHUM; or 4b) hospitalized at the CHUM; or 4c) on the waiting list of the Ophthalmology Clinic of the CHUM for the evaluation of DR. Exclusion Criteria: 1. Patients less than 18 years old; 2. Inability to provide informed consent; 3. Patient who already had a treatment (surgery, laser, injection, etc.) for any retinal condition : Age-related macular degeneration (AMD), retinal vascular occlusion (RVO); etc.
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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
-
Centre hospitalier de l'Université de Montréal
Montreal, Quebec, H2X 0A9, Canada
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Other studies related to the condition(s) this trial covers.
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