Ophthalmology | Radiology Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm. July 27, 2024
Ophthalmology Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning. June 25, 2024
Ophthalmology Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography. June 13, 2024
Ophthalmology Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs. May 11, 2024
Ophthalmology Comparison of B-Scan ultrasonography, ultra-widefield fundus imaging, and indirect ophthalmoscopy in detecting retinal breaks in cataractous eyes. April 24, 2024
Ophthalmology Retinal vasculature of different diameters and plexuses exhibit distinct vulnerability in varying severity of diabetic retinopathy. March 22, 2024
Ophthalmology Predicting systemic diseases in fundus images: systematic review of setting, reporting, bias, and models’ clinical availability in deep learning studies. January 18, 2024
Ophthalmology Development and validation of a deep learning model to predict axial length from ultra-wide field images. December 15, 2023
Ophthalmology Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists. October 17, 2023
Ophthalmology Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration. September 5, 2023
Ophthalmology Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review. September 4, 2023