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Cited by in CrossRef
For: Zhou W, Yuan XJ, Li J, Wang W, Zhang HQ, Hu YY, Ye SD. Application of non-mydriatic fundus photography-assisted telemedicine in diabetic retinopathy screening. World J Diabetes 2024; 15(2): 251-259 [PMID: 38464369 DOI: 10.4239/wjd.v15.i2.251]
URL: https://www.wjgnet.com/1948-9358/full/v15/i2/251.htm
Number Citing Articles
1
Meftah Mohamed Mohamed Madi, Peter Clarke- Farr, Dirk Bester, Georgios Panos. Diabetic Retinopathy Detection: AI Models and ApproachesJournal of Ophthalmology 2026; 2026(1) doi: 10.1155/joph/8857887
2
Qinsong Wei, Bing Ma, Weizhi Wang. Peptide-based Biosensing and In vivo Imaging Approaches for Early Detection and Targeted Therapy of Diabetic RetinopathyChemical Research in Chinese Universities 2026;  doi: 10.1007/s40242-026-6003-6
3
Florian Maria Bauer, Annette Sauerbeck, Wolfgang Hitzl, Nick Piravej, Josef Schmidbauer. Automated Diabetic Retinopathy Screening in Out-patient Diabetes Care – Comparison of Two Artificial Intelligence Algorithms: RetCAD and OphtAIKlinische Monatsblätter für Augenheilkunde 2025; 242(09): 912 doi: 10.1055/a-2620-1956
4
David J Ramsey, Kira J Szulborski. Enhancing diabetic retinopathy screening: Non-mydriatic fundus photography-assisted telemedicine for improved clinical managementWorld Journal of Diabetes 2024; 15(8): 1820-1823 doi: 10.4239/wjd.v15.i8.1820
5
Maria Kąpa, Iga Koryciarz, Natalia Kustosik, Piotr Jurowski, Zofia Pniakowska. Modern Approach to Diabetic Retinopathy DiagnosticsDiagnostics 2024; 14(17): 1846 doi: 10.3390/diagnostics14171846