| 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] |
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| 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 Management. Regenerative Engineering and Translational Medicine 2025; doi: 10.1007/s40883-025-00497-8
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| 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 efficiency. Respiratory Research 2025; doi: 10.1186/s12931-025-03454-9
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| 3 |
Jeniga Gemsy Thepora M, Megalan Leo L. Binary Diabetic Retinopathy Detection with Grayscale-Optimized ResNet18 and Class Imbalance Mitigation. 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) 2025; : 542 doi: 10.1109/ICoICI65217.2025.11254721
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| 4 |
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 retinopathy. Photodiagnosis and Photodynamic Therapy 2025; : 105313 doi: 10.1016/j.pdpdt.2025.105313
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| 5 |
Omar Balkhair, Halima Albalushi. Artificial Intelligence in Organoid-Based Disease Modeling: A New Frontier in Precision Medicine. Biomimetics 2025; 10(12): 845 doi: 10.3390/biomimetics10120845
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| 6 |
Menglin Zhang, Qi Liu, Jialei Zhan, Jinwen Gao, Dong Xie, Jialang Liu. A dual attention and multi-scale fusion network for diabetic retinopathy image analysis. Frontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1614046
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| 7 |
Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore. Exploring AI-assisted techniques for diabetic retinopathy detection: a comprehensive review. Network Modeling Analysis in Health Informatics and Bioinformatics 2025; 14(1) doi: 10.1007/s13721-025-00647-6
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| 8 |
Krishnendu Barik, Anil Kumar. Identification of diagnostic biomarkers in diabetic retinopathy using machine learning and RNA sequencing data. In Silico Research in Biomedicine 2025; 1: 100069 doi: 10.1016/j.insi.2025.100069
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| 9 |
Yifeng Dou, Jiantao Liu. Interpretable machine learning algorithms for diagnostic prediction of diabetic retinopathy. Technology and Health Care 2025; doi: 10.1177/09287329251410736
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| 10 |
M. P. Sujatha, S. Maruthuperumal. SNet-RA: Designing an Advanced Diabetic Retinopathy Detection Framework using Shuffle Network with a Region Attention Mechanism. 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom) 2025; : 1 doi: 10.23919/INDIACom66777.2025.11115336
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| 11 |
A. Yamuna, D. Selvakumar, R. Suresh. Towards accurate diabetic retinal disease detection using advanced deep metric learning. Biomedical Signal Processing and Control 2026; 113: 109127 doi: 10.1016/j.bspc.2025.109127
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| 12 |
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 Study. Journal of Clinical Medicine 2025; 14(14): 4996 doi: 10.3390/jcm14144996
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| 13 |
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-Analysis. Cureus Journal of Computer Science 2025; doi: 10.7759/s44389-025-07263-5
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