AI eye exams: chatbots take on ophthalmologists in landmark trial

NCT ID NCT07154680

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 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

Aug 2024

Finished

Jan 2025

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

Patients going to the hospital for regular eye check-ups

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

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

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

More trials for these conditions

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