AI boosts eye Doctors' accuracy in reading retinal scans?
NCT ID NCT07651943
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether artificial intelligence (AI) can help doctors detect retinal diseases from ultra-widefield eye images. 462 images were read by four eye doctors with different experience levels, both with and without AI assistance. The goal was to see if AI improves accuracy and agreement among doctors.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI-assisted interpretation software
- What this could lead to
- If successful, this could show that AI helps doctors spot retinal problems more accurately, potentially leading to better eye disease screening.
- What could go wrong
- This is a small, early-stage study with only 4 doctors and 462 images. The AI only provides probabilities, not diagnoses, and results may not apply to all clinics or 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.
- Participants
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462 people
The number who actually took part.
- Started
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Jan 2026
- Finished
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Feb 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.
Who is studied
Participants undergoing clinically indicated ultra-widefield retinal imaging at participating ophthalmic centers in China, including individuals with diverse retinal diseases and retinal findings encountered in real-world clinical practice.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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: * Participants undergoing ultra-widefield retinal imaging at participating ophthalmic centers; Exclusion Criteria: * Poor-quality or ungradable retinal images;
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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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Chongqing Huaxia Eye Hospital
Chongqing, Chongqing Municipality, China
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Fuzhou Eye Hospital
Fuzhou, Fujian, 361000, China
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Hengshui Tongrui Eye Hospital
Hengshui, Hebei, China
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Heze Huaxia Eye Hospital
Heze, Shandong, China
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Xiamen Eye Center of Xiamen University
Xiamen, Fujian, 361000, China
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Other studies related to the condition(s) this trial covers.
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