Using AI to diagnose retinal diseases in real-world settings
Real-world Application of Using Artificial Intelligence in Diagnosing Retinal Diseases
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 |
|---|---|
| Enrollment | 100000 (estimated) |
| Ages | 1 Year to 100 Years |
| Sex | All |
| Sponsor | Beijing Tongren Hospital Academic / other |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Trial ID | NCT05981950 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates include individuals requiring fundus photography for potential retinal diseases.
Not a fit: Patients with insufficient information for diagnosis or those not undergoing fundus photography may not benefit from this study.
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 performed: Other studies have shown promise in using AI for medical diagnostics, indicating potential success for this approach.
Eligibility criteria
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 this trial is running
Beijing, Beijing Municipality
- Wen-Bin Wei — Beijing, Beijing Municipality, China (Recruiting)
Study contacts
- Study coordinator: Wenbin Wei, MD
- Email: weiwenbintr@163.cim
- Phone: 58269516
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.