Phone AI could spot eye disease in remote areas

NCT ID NCT07634913

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

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests a smartphone app that uses artificial intelligence to detect 16 different eye diseases from photos taken with the phone. The AI works entirely on the device, so no internet is needed. Researchers will compare its accuracy to eye doctors and see if non-medical users can operate it effectively. The goal is to make eye screening accessible in low-resource communities.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Smartphone-based artificial intelligence system
What this could lead to: If successful, this could provide a low-cost, offline eye screening tool for remote or underserved areas, helping detect diseases like cataracts early.
What could go wrong: This is an early-stage study. The AI may not be as accurate as an eye doctor, and real-world conditions (lighting, phone quality) could affect results.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

blepharitis cataract conjunctival concretion conjunctivitis ectropion entropion exophthalmos hordeolum Hyphema hypopyon keratopathy pterygium

As listed by the trial registrant

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

ARTIFICAL INTELLIGENCE BLEPHARITIS CATARACT CONJUNCTIVAL CONCRETIONS CONJUNCTIVITIS CORNEAL TRANSPLANT STATUS ECTROPION ENTROPION EXOPHTHALMOS HYPHEMA HYPOPYON IRREGULAR PUPILS KERATOPATHY PTERYGIUM STYE SUBCONJUNCTIVAL HEMORRHAGE

Contacts and locations

Locations

Zhongshan Ophthalmic Center, Sun Yat-sen University
RECRUITING

Guangzhou, Guangdong, 510060, China

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