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 type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 3000 (estimated) |
| Sponsor | Zhongshan Ophthalmic Center, Sun Yat-sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | December 12, 2023 |
| Main results expected | May 2028 |
| Study ends | December 2028 |
| Registry record updated | June 9, 2026 |
| Trial ID | NCT07634913 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
- Principal investigator: Longhui Li — Zhongshan Ophthalmic Center, Sun Yat-sen University
- Study coordinator: Haotian Lin
- Email: haot.lin@hotmail.com
- Phone: +86 13802793086
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.