| For: | Yao L, Cao CY, Yu GX, Shu XP, Fan XN, Zhang YF. Screening and evaluation of diabetic retinopathy via a deep learning network model: A prospective study. World J Diabetes 2024; 15(12): 2302-2310 [PMID: 39676804 DOI: 10.4239/wjd.v15.i12.2302] |
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| URL: | https://www.wjgnet.com/1948-9358/full/v15/i12/2302.htm |
| Number | Citing Articles |
| 1 |
Jiaoyan Zhang, Xiaodong Cao, Xin Yu, Minfeng Jiang, Tianhua Xie, Yangningzhi Wang, Zhengyuan Tang. Application of construction and validation of logistic regression model in risk prediction of non‐proliferative diabetic retinopathy in type 2 diabetes mellitus. Diabetic Medicine 2026; doi: 10.1111/dme.70374
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| 2 |
Ting-Wei Wang, Wei-Ting Luo, Yu-Kang Tu, Yu-Bai Chou, Yu-Te Wu. Prospective validation of deep-learning algorithms for diabetic retinopathy screening: A systematic review and meta-analysis. Survey of Ophthalmology 2026; 71(3) doi: 10.1016/j.survophthal.2025.11.012
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| 3 |
Ting-Wei Wang, Wei-Ting Luo, Yu-Kang Tu, Yu-Bai Chou, Yu-Te Wu. Systematic review and meta-analysis of regulator-approved deep learning systems for fundus diabetic retinopathy detections. npj Digital Medicine 2025; 9(1) doi: 10.1038/s41746-025-02223-8
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| 4 |
Krzysztof Irlik, Hanna Kwiendacz, Adam Wylęgała, Bartłomiej Bolek, Martyna Gut-Misiaga, Aleksandra Gil, Julia Piaśnik, Jakub Jochemczyk, Izabela Gryń, Wiktoria Wójcik, Ola Wybraniec, Jakub Łata, Katarzyna Głuszko, Jacek Miękina, Dominika Jurek, Monika Niezgoda, Paweł Ignacy, Paulina Szromek-Białek, Janusz Gumprecht, Uazman Alam, Gregory Y.H. Lip, Katarzyna Nabrdalik. Diagnostic Accuracy of Artificial Intelligence-based Automated Detection of Diabetic Retinopathy in Routine Care Using Nonmydriatic Fundus Images: The Silesia Diabetes–Heart Project. Clinical Therapeutics 2026; doi: 10.1016/j.clinthera.2026.06.005
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