AI eye exams: chatbots take on ophthalmologists in landmark trial
NCT ID NCT07154680
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This completed trial tested whether large language models (AI chatbots) can diagnose eye diseases like cataracts and glaucoma. Researchers compared the diagnostic accuracy of several AI models against real ophthalmologists using patient complaints and eye images from 2000 participants. The goal was to see if AI could provide reliable medical advice and speed up diagnosis.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Large language models (AI chatbots) including GPT-4o, Claude, Gemini, and Llama
- What this could lead to
- If successful, this could show that AI can help diagnose eye diseases quickly and accurately, potentially supporting doctors and improving access to eye care.
- What could go wrong
- This is a completed study, but AI may not match the accuracy of a human eye doctor, and results may not apply to all types of eye disease or real-world clinics.
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
-
2,000 people
The number who actually took part.
- Started
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Aug 2024
- Finished
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Jan 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
Patients going to the hospital for regular eye check-ups
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- 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: * There are patient complaints Exclusion Criteria: * No patient complaints
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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
-
Affiliated Hospital of North Sichuan Medical College
Nanchong, Sichuan, 637000, China
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