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.

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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
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article

Predicting progression to proliferative diabetic retinopathy using automated versus manual quantification of retinal haemorrhages

Malavika Bhaskaranand, Marius B. Facktor, G.W. Robertson, Roxan Mansoori Dara et al.
Eye
Retinal Diseases and Treatments
article

Predicting progression to proliferative diabetic retinopathy using automated versus manual quantification of retinal haemorrhages

Malavika Bhaskaranand, Marius B. Facktor, G.W. Robertson, Roxan Mansoori Dara, Aditya Verma, Muneeswar G. Nittala, Swetha B. Velaga, Bradley Yates, SriniVas R. Sadda, Sandeep Bhat, Chaitra Jayadev
article en

Abstract

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.

EyeVol. 40(5)
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)
Openalex Percentile: Top 86%
Retinal Diseases and Treatments
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Predicting progression to proliferative diabetic retinopathy using automated versus manual quantification of retinal haemorrhages — Malavika Bhaskaranand, Marius B. Facktor, et al. · Eye (2026) | TGRS Research Map | TGRS