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BMJ Open|January 23, 2023
Impact of targeted diabetic retinopathy training for graders in Vietnam and the implications for future diabetic retinopathy screening programmes: a diagnostic test accuracy studyKatie Curran, Nathan Congdon, Tung Thanh Hoang, et al.
Acta Ophthalmologica|April 17, 2023
Inter-grader reliability in the Danish screening programme for diabetic retinopathyAnne Suhr Thykjaer, Jens Andresen, Nis Andersen, et al.
Ophthalmology and Therapy|August 2, 2024
The Impact of the COVID-19 Pandemic on Tele-ophthalmology-Based Retinal ScreeningMarie L R Rasmussen, Lasse J Cehofski, Julie Davies, et al.
JAMA Ophthalmology|February 8, 2024
Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, et al.
JAMA Ophthalmology|February 8, 2024
Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal ImagesPaolo S Silva, Dean Zhang, Cris Martin P Jacoba, et al.
Journal of Diabetes Research|May 12, 2017
Noninvasive Retinal Markers in Diabetic Retinopathy: Advancing from Bench towards BedsideSøren Leer Blindbæk, Thomas Lee Torp, Kristian Lundberg, et al.
Ophthalmology|September 22, 2023
Developing a Continuous Severity Scale for Macular Telangiectasia Type 2 Using Deep Learning and Implications for Disease GradingYue Wu, Catherine Egan, Abraham Olvera-Barrios, et al.
F1000Research|July 8, 2017
Automated analysis of retinal imaging using machine learning techniques for computer visionJeffrey De Fauw, Pearse Keane, Nenad Tomasev, et al.
BMJ Open|March 7, 2024
Descriptive study of the challenges when implementing an app for patients with neovascular age-related macular degeneration to monitor their vision at homeBarnaby C Reeves, Robin Wickens, Sean R O'Connor, et al.
The British Journal of Ophthalmology|January 26, 2021
Association of ambient air pollution with age-related macular degeneration and retinal thickness in UK BiobankSharon Y L Chua, Alasdair Warwick, Tunde Peto, et al.
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