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References from Ocular Factors Affecting AI Diagnosis in Diabetic Retinopathy Screening for Resource-Limited Regions: Cross-Sectional Study. Local targets link to admitted publications; unresolved targets remain external evidence.
Digital technology, tele-medicine and artificial intelligence in ophthalmology: a global perspective
10.1016/j.preteyeres.2020.100900 · External reference
IDF Diabetes Atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045
10.1016/j.diabres.2021.109119 · External reference
National prevalence of vision impairment and blindness and associated risk factors in adults aged 40 years and older with known or undiagnosed diabetes: results from the SMART-India cross-sectional study
10.1016/s2214-109x(24)00035-4 · External reference
Automated diabetic retinopathy image assessment software: diagnostic accuracy and cost-effectiveness compared with human graders
10.1016/j.ophtha.2016.11.014 · External reference
Under the lens: diabetic retinopathy
10.1016/s2213-8587(20)30347-8 · External reference
Global prevalence and major risk factors of diabetic retinopathy
10.2337/dc11-1909 · External reference
Availability and variability in guidelines on diabetic retinopathy screening in Asian countries
10.1136/bjophthalmol-2016-310002 · External reference
Pivotal evaluation of an artificial intelligence system for autonomous detection of referrable and vision-threatening diabetic retinopathy
10.1001/jamanetworkopen.2021.34254 · External reference
Racial disparity of eye examinations among the U.S. working-age population with diabetes: 2002-2009
10.2337/dc13-1038 · External reference
Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review
10.1111/ceo.12696 · External reference
A deep learning system for detecting diabetic retinopathy across the disease spectrum
10.1038/s41467-021-23458-5 · External reference
Unresolved reference
External reference
Diabetes in China: epidemiology and genetic risk factors and their clinical utility in personalized medication
10.2337/dbi17-0013 · External reference
10.1038/s41746-018-0040-6 · Admitted local publication
Automated identification of diabetic retinopathy using deep learning
10.1016/j.ophtha.2017.02.008 · External reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · External reference
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
10.1001/jama.2017.18152 · External reference
The value of automated diabetic retinopathy screening with the EyeArt system: a study of more than 100,000 consecutive encounters from people with diabetes
10.1089/dia.2019.0164 · External reference
Deep learning‐based detection and stage grading for optimising diagnosis of diabetic retinopathy
10.1002/dmrr.3445 · External reference
Artificial intelligence and diabetic retinopathy: AI framework, prospective studies, head-to-head validation, and cost-effectiveness
10.2337/dci23-0032 · External reference
Development and validation of a predictive risk model based on retinal geometry for an early assessment of diabetic retinopathy
10.3389/fendo.2022.1033611 · External reference
Deep learning-enabled vasculometry depicts phased lesion patterns in high myopia progression
10.1016/j.apjo.2024.100086 · External reference
Unresolved reference
External reference
Prevalence and associations of fundus tessellation among junior students from Greater Beijing
10.1167/iovs.19-27382 · External reference
Fundus tessellation: prevalence and associated factors: the Beijing Eye Study 2011
10.1016/j.ophtha.2015.05.031 · External reference
Diabetic retinopathy preferred practice pattern®
10.1016/j.ophtha.2019.09.025 · External reference
11. Microvascular complications and foot care:
10.2337/dc20-s011 · External reference
The relationship between refractive error and the risk of diabetic retinopathy: a systematic review and meta-analysis
10.3389/fmed.2024.1354856 · External reference