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AI boosts eye Doctors' accuracy in reading retinal scans?

NCT ID NCT07651943

What the study statuses mean

This study's is highlighted.

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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

462 people

The number who actually took part.

Started

Jan 2026

Finished

Feb 2026

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

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

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * 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

  • Chongqing Huaxia Eye Hospital

    Chongqing, Chongqing Municipality, China

  • Fuzhou Eye Hospital

    Fuzhou, Fujian, 361000, China

  • Hengshui Tongrui Eye Hospital

    Hengshui, Hebei, China

  • Heze Huaxia Eye Hospital

    Heze, Shandong, China

  • Xiamen Eye Center of Xiamen University

    Xiamen, Fujian, 361000, China

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