AI takes on the eye doctor: can software match expert glaucoma grading?
NCT ID NCT07820709
First seen Sep 15, 2026 · Last updated Sep 16, 2026 · Updated 1 time
Summary
Researchers at the University of Salerno are testing whether an artificial intelligence system can grade glaucoma severity from standard visual field tests as reliably as an expert ophthalmologist. The study follows about 50 adults with glaucoma or suspected glaucoma who have visual field exams at the start and roughly one year later. Both the AI and the eye doctor stage each test using the Brusini Glaucoma Staging System 2, a scale from Stage 0 to Stage 5, and the researchers compare how closely their ratings agree. The AI only reads the tests and does not influence patient treatment.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- an artificial intelligence system that stages glaucoma severity from visual field tests
- What this could lead to
- If the AI grades glaucoma severity as reliably as an eye specialist, it could help clinics sort patients faster and track their vision loss more consistently.
- What could go wrong
- This is a small study of 50 people at one center, so the AI may not match expert judgment in other clinics or with different visual field machines. The AI only reads test results and does not change patient care.
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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50 people
The number who actually took part.
- Started
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Apr 2011
- Finished
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Jul 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.
Who is studied
Adult patients with glaucoma or suspected glaucoma attending the Ophthalmology Unit of University of Salerno for routine glaucoma follow-up. Eligible participants underwent standard automated visual field testing at baseline and approximately 1-year follow-up. Visual fields were independently staged by an artificial intelligence system and an expert ophthalmologist using the Brusini Glaucoma Staging System 2 (GSS2).
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
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: * Adults (≥18 years of age). * Diagnosis of glaucoma or suspected glaucoma undergoing routine clinical follow-up. * Availability of reliable standard automated visual field (VF) examinations at baseline and approximately 1-year follow-up. * Visual field tests suitable for staging using the Brusini Glaucoma Staging System 2 (GSS2). * Availability of all clinical data required for study analysis. Exclusion Criteria: * Unreliable visual field examinations (e.g., excessive fixation losses, false-positive or false-negative responses according to institutional reliability criteria). * Visual field defects attributable to ocular or neurological diseases other than glaucoma. * Missing baseline or follow-up visual field examinations. * Incomplete clinical data preventing GSS2 staging or statistical analysis. * Previous ocular conditions or interventions that could significantly affect visual field interpretation, if judged by the investigator.
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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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University of Salerno
Salerno, 84084, Italy
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Other studies related to the condition(s) this trial covers.