Clinical trial Recruiting at 1 site Observational Ages 18 and up

Smartphone-based AI eye disease screening for anterior segment conditions

Official title: Development of a Mobile Terminal-Based Intelligent Detection System for Multiple Anterior Segment Diseases of the Eye

Run by Zhongshan Ophthalmic Center, Sun Yat-sen University · NCT07634913 · Data updated 2026-11-12

A smartphone-powered AI system tests whether it can identify 16 eye conditions from images captured on a phone, without needing internet access, in adults.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment3000 (estimated)
SponsorZhongshan Ophthalmic Center, Sun Yat-sen University
Academic / other
Locations1 site (Guangzhou, Guangdong)
StatusRecruiting
StartedDecember 12, 2023
Main results expectedMay 2028
Study endsDecember 2028
Registry record updatedJune 9, 2026
Trial IDNCT07634913 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults 18 years and older who can cooperate with anterior segment imaging using a smartphone or slit-lamp photography and can provide informed consent.

Probably not a fit

Patients whose eye images cannot be captured reliably or whose conditions fall outside the 16 targeted anterior segment diseases may not benefit from the test results.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a multi-center, cross-sectional study evaluating an on-device artificial intelligence system that analyzes images of the eye's front segment to screen for 16 conditions. The software runs entirely on a standard Android smartphone, avoiding cloud-based processing. The goal is to determine if the on-device AI can provide clinically acceptable diagnostic performance in real-world settings, including areas with limited internet connectivity. Participants are adults capable of providing consent, and image capture must be feasible with smartphone photography or slit-lamp biomicroscopy. The study is led by Zhongshan Ophthalmic Center at Sun Yat-sen University in Guangzhou, with collaboration across centers under a structure that emphasizes standalone deployment.

Why it matters

Potential benefit: If successful, this on-device AI could enable rapid eye disease screening in low-resource or remote settings without internet access.

How similar studies have gone: Previous work with on-device medical imaging AI has shown promise for localized processing, but real-world performance in diverse settings remains to be confirmed.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Adults aged 18 years or older;
* Willing to participate and able to provide written informed consent prior to enrollment.

Exclusion Criteria:

* Unable to cooperate with anterior segment image capture (including smartphone-based photography or slit-lamp biomicroscopy).

Where it's running

  • Zhongshan Ophthalmic Center, Sun Yat-sen University
    Guangzhou, Guangdong, China
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.