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AI eye exam: a new hope for early glaucoma detection?

NCT ID NCT07758569

Diagnosis Sponsor: Democritus University of Thrace Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Aug 11, 2026 · Last updated Aug 12, 2026 · Updated 1 time

Summary

This trial is testing whether an artificial intelligence system, part of the DDART medical device, can accurately detect signs of glaucoma in retinal photographs. Researchers will compare the AI's readings against confirmed diagnoses from eye specialists using images from 2,000 adults. The goal is to see if this technology could serve as a reliable screening tool for glaucoma.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Artificial intelligence subsystem of the DDART medical device analyzing color retinal fundus photographs
What this could lead to
If successful, this AI could help doctors spot glaucoma earlier and more accurately from routine eye photos, potentially preventing vision loss.
What could go wrong
The AI may not perform as well in real-world settings, and the trial's reliance on high-quality images and specialist-confirmed diagnoses might not reflect everyday conditions.

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

About 2,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Apr 2026

Expected to finish

Apr 2027

An estimate. End dates often move.

Lead sponsor

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.

Who is studied

Participants that are able to provide consent for their fundus photograph to be recorded

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show 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 ≥18 years. Availability of a high-resolution color fundus photograph. Confirmed diagnosis established by a specialist. Exclusion Criteria: * Poor-quality images. Coexisting ocular diseases that interfere with image interpretation.

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Conditions

The condition(s) this trial relates to.

glaucoma

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Glaucoma

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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

  • University Hospital of Alexandroupolis

    RECRUITING

    Alexandroupoli, Greece

More trials for these conditions

Other studies related to the condition(s) this trial covers.