1. The Learning Curve of Surgery of Diabetic Tractional Retinal Detachment—A Retrospective, Comparative Study
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2. Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound images
   Li Feng et al, 2024, Eye CrossRef
3. From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based study
   Mohammad Soleimani et al, 2023, Scientific Reports CrossRef
4. Detection of diabetic retinopathy and age-related macular degeneration using DenseNet based neural networks
   Manpinder Singh et al, 2024, Multimedia Tools and Applications CrossRef
5. Personalized treatment supported by automated quantitative fluid analysis in active neovascular age-related macular degeneration (nAMD)—a phase III, prospective, multicentre, randomized study: design and methods
   Leonard M. Coulibaly et al, 2023, Eye CrossRef
6. Accuracy of generative deep learning model for macular anatomy prediction from optical coherence tomography images in macular hole surgery
   Han Jo Kwon et al, 2024, Scientific Reports CrossRef
7. A Beginner’s Guide to Artificial Intelligence for Ophthalmologists
   Daohuan Kang et al, 2024, Ophthalmology and Therapy CrossRef