Real-World Evaluation of Artificial Intelligence-Based Diabetic Retinopathy Screening Using the Optomed Aurora Handheld Fundus Camera
Authors' conclusion
Aireen showed high diagnostic accuracy in detecting DR in Optomed Aurora images, suggesting its potential for effective screening.
Study context
- Population
- Fundus images captured by the handheld Optomed Aurora, graded for diabetic retinopathy (DR)
- Participants
- 624 fundus images
- Comparison
- Aireen artificial intelligence (AI) grading vs retina specialists' grading of Optomed Aurora handheld fundus images
- Outcome
- Sensitivity, specificity and predictive values of Aireen for DR vs ophthalmologists' grading
Methodological detailsreal-world
- Real-world
Performance
As reported in the abstract
DR detection
| Test or model | Sensitivity | Specificity | Diagnostic accuracy |
|---|---|---|---|
| Aireen | 94.8% | 91.4% | 92.7% |
Aireen
Sensitivity94.8%
Specificity91.4%
Diagnostic accuracy92.7%
Further findings
- Images sufficient for DR classification
- 97%
Original publication
Real-World Evaluation of Artificial Intelligence-Based Diabetic Retinopathy Screening Using the Optomed Aurora Handheld Fundus Camera. Diabetes Technol Ther. Published 18 August 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →