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JAMA Ophthalmology|April 2, 2026
Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based ScreeningJohn Placide, Aaron S Coyner, Susan R Ostmo, et al.
Ophthalmology|April 8, 2017
Assessment of a Tele-education System to Enhance Retinopathy of Prematurity Training by International Ophthalmologists-in-Training in MexicoSamir N Patel, Maria Ana Martinez-Castellanos, David Berrones-Medina, et al.
Ophthalmology Science|December 7, 2023
Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning ApproachWei-Chun Lin, Brian K Jordan, Brian Scottoline, et al.
American Journal of Ophthalmology|June 13, 2008
Retinopathy of prematurity management using single-image vs multiple-image telemedicine examinationsAlexandra Lajoie, Susan Koreen, Lu Wang, et al.
Ophthalmology|June 2, 2015
Influence of Fluorescein Angiography on the Diagnosis and Management of Retinopathy of PrematurityMichael A Klufas, Samir N Patel, Michael C Ryan, et al.
Archives of Ophthalmology (Chicago, Ill. : 1960)|November 14, 2007
Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image qualityMichael F Chiang, Lu Wang, Mihai Busuioc, et al.
Ophthalmology Science|October 17, 2022
Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class LabelsAdam Hanif, İlkay Yıldız, Peng Tian, et al.
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