A deep learning system for predicting time to progression of diabetic retinopathy
#2PRI RANKED
Most Cited Paper
in Retinal Diseases and Treatments
18 Months Post-Publication
Class of 2026
“A deep learning system for predicting time to progression of diabetic retinopathy”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/retinal-diseases-and-treatments/2026/
Topics
DeepDR Plus · Deep learning · Diabetic retinopathy prediction · Fundus image · time-to-event prediction · concordance index · integrated Brier score · Screening interval extension · multiethnic dataset · model pretraining · Diabetic retinopathy · Real-world evidence · Risk stratification · survival analysis in ophthalmology · Screening interval extension · delayed detection rate · diabetes screening workflow integration · individualized risk prediction
Share
Cite this ranking
Pepkio Research Index (PRI). Topics and Trends in Most Cited Retinal Diseases and Treatments Papers, Class of 2026. https://pri.pepkio.com/top-papers/retinal-diseases-and-treatments/2026. Accessed 2026-07-13. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459