Using AI to diagnose retinal diseases in real-world settings
Official title: Real-world Application of Using Artificial Intelligence in Diagnosing Retinal Diseases
Run by Beijing Tongren Hospital · NCT05981950 · Data updated 2026-11-12
This study is testing whether an AI program can accurately diagnose retinal diseases like diabetic retinopathy and age-related macular degeneration using pictures of the retina taken by trained operators.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 1 Year to 100 Years |
| Sex | All |
| Enrollment | 100000 (estimated) |
| Sponsor | Beijing Tongren Hospital Academic / other |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Status | Recruiting |
| Started | August 1, 2023 |
| Main results expected | August 1, 2028 |
| Study ends | August 1, 2029 |
| Registry record updated | August 8, 2023 |
| Trial ID | NCT05981950 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include individuals requiring fundus photography for potential retinal diseases.
✕Probably not a fit
Patients with insufficient information for diagnosis or those not undergoing fundus photography may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to implement an artificial intelligence algorithm for diagnosing various retinal diseases, including diabetic retinopathy and age-related macular degeneration, using fundus photography. Trained operators will capture images of the retina, which will then be analyzed by the AI algorithm to assess its diagnostic accuracy. The study evaluates the algorithm's performance based on several metrics, including sensitivity and specificity, to determine its effectiveness in a practical setting.
Why it matters
Potential benefit: If successful, this approach could enhance the accuracy and efficiency of diagnosing retinal diseases, leading to better patient outcomes.
How similar studies have gone: Other studies have shown promise in using AI for medical diagnostics, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * fundus photography around 45° field which covers optic disc and macula * complete identification information Exclusion Criteria: * insufficient information for diagnosis
Where it's running
-
Wen-Bin Wei
Beijing, Beijing Municipality, China Recruiting
Study contacts
- Study coordinator: Wenbin Wei, MD
- Email: weiwenbintr@163.cim
- Phone: 58269516
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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.