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For: Abdalla MMI, Mohanraj J. Revolutionizing diabetic retinopathy screening and management: The role of artificial intelligence and machine learning. World J Clin Cases 2025; 13(5): 101306 [PMID: 39959767 DOI: 10.12998/wjcc.v13.i5.101306]
URL: https://www.wjgnet.com/2307-8960/full/v13/i5/101306.htm
Number Citing Articles
1
Praveen H S, Prasiddhi Naik, Prakash Goudanavar. Bioengineered Scaffolds and 3D Printing in Wound Healing: Innovative Strategies for Chronic Wound ManagementRegenerative Engineering and Translational Medicine 2025;  doi: 10.1007/s40883-025-00497-8
2
Hong-lei Wu, Mei-juan Lan, Wang-Qin Shen, Li Chen, Jia-Ying Qian, Yan-hong Bian, Jia-hai Shi. Precise identification of respiratory system air leakage via dynamic ventilator waveform monitoring: a controlled trial to improve mechanical ventilation care efficiencyRespiratory Research 2025; 27(1) doi: 10.1186/s12931-025-03454-9
3
妍凯 蒋. Risk Factors Identification and Intervention Strategies for PremyopiaAdvances in Clinical Medicine 2026; 16(02) doi: 10.12677/acm.2026.162659
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 ProjectClinical Therapeutics 2026;  doi: 10.1016/j.clinthera.2026.06.005
5
Jeniga Gemsy Thepora M, Megalan Leo L. Binary Diabetic Retinopathy Detection with Grayscale-Optimized ResNet18 and Class Imbalance Mitigation2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) 2025;  doi: 10.1109/ICoICI65217.2025.11254721
6
Shasha Yao, Chunfang Gan, Rugang Pan. Prediction model for the risk of vitreous haemorrhage after vitrectomy combined with intraocular injection for the treatment of proliferative diabetic retinopathyPhotodiagnosis and Photodynamic Therapy 2026; 57 doi: 10.1016/j.pdpdt.2025.105313
7
Omar Balkhair, Halima Albalushi. Artificial Intelligence in Organoid-Based Disease Modeling: A New Frontier in Precision MedicineBiomimetics 2025; 10(12) doi: 10.3390/biomimetics10120845
8
Menglin Zhang, Qi Liu, Jialei Zhan, Jinwen Gao, Dong Xie, Jialang Liu. A dual attention and multi-scale fusion network for diabetic retinopathy image analysisFrontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1614046
9
Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore. Exploring AI-assisted techniques for diabetic retinopathy detection: a comprehensive reviewNetwork Modeling Analysis in Health Informatics and Bioinformatics 2025; 14(1) doi: 10.1007/s13721-025-00647-6
10
Salliah Shafi, Gufran Ahmad Ansari, Deepak Kumar. Advancing Integrative Medicine Through Medical Intelligence2026;  doi: 10.1016/B978-0-443-44021-2.00014-2
11
Krishnendu Barik, Anil Kumar. Identification of diagnostic biomarkers in diabetic retinopathy using machine learning and RNA sequencing dataIn Silico Research in Biomedicine 2025; 1 doi: 10.1016/j.insi.2025.100069
12
Yifeng Dou, Jiantao Liu. Interpretable machine learning algorithms for diagnostic prediction of diabetic retinopathyTechnology and Health Care 2026; 34(2) doi: 10.1177/09287329251410736
13
Aditya Kelkar, Jai Kelkar, Yash Garg, Harsh H. Jain, Sabyasachi Sengupta. Smartphone-based offline AI for multi-disease retinal screening: Real-world accuracyEuropean Journal of Ophthalmology 2026;  doi: 10.1177/11206721261462321
14
M. P. Sujatha, S. Maruthuperumal. SNet-RA: Designing an Advanced Diabetic Retinopathy Detection Framework using Shuffle Network with a Region Attention Mechanism2025 12th International Conference on Computing for Sustainable Global Development (INDIACom) 2025;  doi: 10.23919/INDIACom66777.2025.11115336
15
Rogers Mwavu, Fred Kaggwa, Simon Arunga, William Wasswa. Evaluating the Generalisability of Convolutional Neural Networks for Diabetic Retinopathy Detection in Latin America and Sub-Saharan AfricaInformation 2026; 17(6) doi: 10.3390/info17060552
16
A. Yamuna, D. Selvakumar, R. Suresh. Towards accurate diabetic retinal disease detection using advanced deep metric learningBiomedical Signal Processing and Control 2026; 113 doi: 10.1016/j.bspc.2025.109127
17
Gaurav Paranjpe, Salim Chavan. Generative Artificial Intelligence in Ophthalmology2026;  doi: 10.1002/9781394358212.ch14
18
Filip Milicevic, Maher Ghandour, Moh’d Yazan Khasawneh, Amir R. Ghasemi, Ahmad Al Zuabi, Samir Smajic, Mohamad Agha Mahmoud, Koroush Kabir, Ümit Mert. Assessing LLMs on IDSA Practice Guidelines for the Diagnosis and Treatment of Native Vertebral Osteomyelitis: A Comparison StudyJournal of Clinical Medicine 2025; 14(14) doi: 10.3390/jcm14144996
19
Mwavu Rogers , Fred Kaggwa, Simon Arunga, William Wasswa. Feasibility and Equity of AI-Driven Models for Diabetic Retinopathy Screening in Sub-Saharan Africa: A Systematic Review and Meta-AnalysisCureus Journal of Computer Science 2025;  doi: 10.7759/s44389-025-07263-5
20
Ruolin Fang, Ruixuan Xu, Zhipeng Wu, Yuhua Tong. Ultra-widefield color fundus photography in diabetic retinopathy: from panretinal assessment to multimodal integrationFrontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1845156
21
Jing Zhao, Yitao Cao, Zhi Chai, Hanghang Xie, Dandan Gu, Yanchun Zhang, Dongling Niu, Hongli Liu, Ting Lei. Early proteomic and metabolomic signatures in diabetes associated with progression to diabetic retinopathy over 1–2 yearsFrontiers in Endocrinology 2026; 17 doi: 10.3389/fendo.2026.1842620