Predicting progression to proliferative diabetic retinopathy using automated versus manual quantification of retinal haemorrhages
Automated detection of retinal haemorrhages may serve as a surrogate to the manual grading in predicting the progression to PDR. Although the automated approach detects a lower number of lesions compared to manual grading, the results are correlated and the automatically determined parameters are still predictive of progression.
Authors
- Malavika Bhaskaranand
- Marius B. Facktor
- G.W. Robertson (ORCID: https://orcid.org/0000-0002-9670-930X)
- Roxan Mansoori Dara
- Aditya Verma
- Muneeswar G. Nittala
- Swetha B. Velaga
- Bradley Yates
- SriniVas R. Sadda
- Sandeep Bhat
- Chaitra Jayadev
Institutions
- Meharry Medical College (US)
- Sankara Nethralaya (IN)
- University of Louisville (US)
- University of California, Los Angeles (US)
- Doheny Eye Institute (US)
- Narayana Nethralaya (IN)
- Digital Catapult (GB)
- Eyenuk (United States) (US)
Publication Details
- Journal
- Eye
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1038/s41433-025-04205-2
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00