Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial
Most Cited Paper
in Retinal Diseases and Treatments
18 Months Post-Publication
Class of 2026
“Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial”
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Topics
Autonomous artificial intelligence · Diabetic retinopathy · Diabetic eye examination · point-of-care screening · youth with diabetes · type 1 diabetes · Type 2 diabetes mellitus · randomized controlled trial · eye care provider referral · screening completion rate · follow-through adherence · pediatric diabetes · Detection · racially and ethnically diverse population · abnormal retinal findings · Automated diagnosis · ACCESS trial
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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 2026-08-20. Methodology 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