AI eye scans aim to predict Sight-Threatening complication after retinal surgery
NCT ID NCT07682025
First seen Jul 02, 2026 · Last updated Jul 02, 2026
Summary
This study investigates whether advanced eye imaging and artificial intelligence can predict proliferative vitreoretinopathy (PVR), a condition that can cause retinal detachment surgery to fail. Researchers will analyze scans from 100 patients with retinal detachment, some with PVR and some without, to identify imaging biomarkers and develop AI models that detect or predict PVR. The goal is to help tailor treatments and improve surgical outcomes.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could help doctors predict which patients will develop PVR after retinal detachment surgery, allowing earlier and more personalized treatment.
- What could go wrong
- This is an observational, early-stage study with only 100 participants. The AI models may not be accurate enough for real-world use, and findings may not apply to all patients.
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 100 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Oct 2026
An estimate. Start dates often move.
- Expected to finish
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Oct 2027
An estimate. End dates often move.
- 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
MORPH-1 - PVR detachments Cohort-NHS - primary RRD without PVR requiring PPV with PVD.
- 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: * MORPH-1 and Cohort-NHS study imaging Exclusion Criteria: * Participants from above studies who have not consented for image analysis and AI related analysis.
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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
The full official record for this study. This one lists no contact details, but it is the first place any would appear.
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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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University College London
London, United Kingdom
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Other studies related to the condition(s) this trial covers.
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