Ophthalmology | Pathology Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin-eosin images. May 3, 2024
Ophthalmology Comparing code-free and bespoke deep learning approaches in ophthalmology. March 6, 2024
Ophthalmology An enumerative pre-processing approach for retinopathy severity grading using an interpretable classifier: a comparative study. February 24, 2024
Ophthalmology A multi-label transformer-based deep learning approach to predict focal visual field progression. February 9, 2024
Ophthalmology The effect of optical degradation from cataract using a new Deep Learning optical coherence tomography segmentation algorithm. October 16, 2023
Ophthalmology | Radiology Use of extreme gradient boosting, light gradient boosting machine, and deep neural networks to evaluate the activity stage of extraocular muscles in thyroid-associated ophthalmopathy. September 29, 2023
Healthcare | Ophthalmology Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology. September 25, 2023
Ophthalmology An advanced deep learning method to detect and classify diabetic retinopathy based on color fundus images. August 7, 2023
Ophthalmology A deep learning approach to investigate the filtration bleb functionality after glaucoma surgery: a preliminary study. August 2, 2023
Ophthalmology Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis. July 7, 2023
Ophthalmology Insights into artificial intelligence in myopia management: from a data perspective. May 25, 2023
Ophthalmology An AI model to estimate visual acuity based solely on cross-sectional OCT imaging of various diseases. May 11, 2023