AI that reads slit‑lamp and smartphone photos to diagnose and triage anterior eye conditions
Official title: Development and Validation of Multimodal Deep Learning Model for Autonomous Diagnosis, Generative Reporting, and Specialist Referral in Ophthalmic Diseases: An International Multicenter Cohort Study
Run by Guangdong Provincial People's Hospital · NCT07447973 · Data updated 2026-11-12
This study will test an AI that uses slit‑lamp and smartphone photos to diagnose and suggest next steps for people with anterior segment eye problems and for volunteers without eye concerns.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | Guangdong Provincial People's Hospital Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | March 10, 2026 |
| Main results expected | November 20, 2027 |
| Study ends | December 31, 2027 |
| Registry record updated | July 7, 2026 |
| Trial ID | NCT07447973 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults who can give informed consent, read Chinese or English, and either have specific anterior eye complaints or have no eye concerns and can provide the required photos and clinical data.
✕Probably not a fit
People who cannot provide complete clinical data, are too medically unstable to participate safely, do not speak Chinese or English, or who have eye conditions outside the anterior segment may not benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational, multicenter effort will develop and validate an agent‑based framework that combines vision‑language models and large language models to support diagnosis and triage of anterior segment eye diseases. Participants with and without eye complaints will provide slit‑lamp and smartphone photographs alongside routine clinical data to train and validate the model. The AI's multi‑task outputs (diagnoses and triage suggestions) will be compared against clinical diagnoses and documented workflows. The project is coordinated at Guangdong Provincial People's Hospital and Southern Medical University with bilingual (Chinese/English) enrolment.
Why it matters
Potential benefit: If successful, the tool could speed up diagnosis, improve diagnostic accuracy, and help guide appropriate next steps for people with front‑of‑eye conditions using clinic or phone photos.
How similar studies have gone: AI has shown strong results for retinal imaging and some anterior segment tasks, but combining vision‑language models with large language models for multi‑task diagnosis and triage is a relatively novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Informed consent obtained; 2. Participants should be sufficiently able to read, write, and understand Chinese or English; 3. For normal participants: individuals should have no concerns related to their eyes. 4. For participants with eye-related chief complaints: individuals should have specific concerns or issues related to their eyes. Exclusion Criteria: 1. Incomplete clinical data to support final diagnosis; 2. Patients who, in the opinion of the attending physician or clinical study staff, are too medically unstable to participate in the study safely.
Where it's running
-
Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University
Guangzhou, Guangdong, China Recruiting
Study contacts
- Study coordinator: Honghua Yu
- Email: yuhonghua@gdph.org.cn
- Phone: +8618688888422
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
National cohort for congenital eye defects
This study looks at how congenital eye defects affect vision and development in newborns, children, and adults over ten years to help improve care for those with these conditions.
-
SGC001 in STEMI patients undergoing PCI
A single-dose study to see if SGC001 given with standard care helps reduce heart damage in people with anterior STEMI treated with PCI.
-
Agreement of Two OCT Biometers: A Pilot Study
This pilot study tests whether two OCT biometers, UNITY Dx and Anterion, produce comparable eye measurements for adults across several eye-conditions to help guide IOL power decisions.
-
Fentanyl versus ketorolac added to peribulbar local anesthesia for anterior eye surgeries
This trial tests whether adding fentanyl or ketorolac to peribulbar local anesthesia helps adults having anterior segment eye surgeries have better pain control and eye immobility.
-
Surgery for corneal issues in patients with previous eye surgeries
This study looks at how well a specific eye surgery called DMEK works for patients who have had other eye surgeries before and if they face more risks during the procedure.
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.