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AI eye scan could spot hidden diseases

NCT ID NCT07581925

Diagnosis Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Sep 02, 2026 · Updated 3 times

Summary

This completed study tested whether artificial intelligence (AI) can detect systemic diseases, like liver problems, by analyzing eye images. Researchers trained a deep learning model on eye photos from 775 participants. The goal was to see if the AI could spot signs of disease that human doctors might miss, potentially leading to a quick, non-invasive screening tool.

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 lead to a non-invasive, AI-based screening tool that detects liver and other systemic diseases from routine eye photos.
What could go wrong
This is a completed study, but the results are not yet published. The AI model's accuracy in real-world settings is still unknown, and it may not work for all populations or diseases.

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

730 people

The number who actually took part.

Started

Apr 2020

Finished

Jul 2024

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

ocular images collected from the Third Affiliated Hospital of Sun Yat-sen University and Pazhou Medical Centre of Aikang Health Care

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: * The quality of ocular images should clinical acceptable. * Complete clinical information such as baseline demographic characteristics, the history of systematic diseases and so on. Exclusion Criteria: * Individuals diagnosed with severe eye diseases or acute systematic diseases. * Incompatible with ocular examinations.

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Conditions

The condition(s) this trial relates to.

Digestive System Diseases hepatobiliary disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence (AI) Hepatobiliary diseases Ophthalmology Systemic diseases

Contacts and locations

Locations

  • Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity

    Guangzhou, Guangdong, 510000, China

More trials for these conditions

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