Latest Research in Glaucoma and retinal disorders
30 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Glaucoma and retinal disorders
- Retinal Imaging and Analysis — 14 papers
- Glaucoma and retinal disorders — 3 papers
- Retinal Diseases and Treatments — 3 papers
- Ophthalmology and Eye Disorders — 2 papers
- Ophthalmology and Visual Impairment Studies — 2 papers
- Computer Vision and Pattern Recognition — 2 papers
- Corneal surgery and disorders — 1 papers
- Ocular Surface and Contact Lens — 1 papers
- Ocular Disorders and Treatments — 1 papers
- Angiogenesis and VEGF in Cancer — 1 papers
Highest-Cited Papers
- Artificial Intelligence-Assisted Community Eye Screening in Primary Healthcare: A Prospective Multicentre Diagnostic Accuracy and Implementation Study (1 citations)
- Deep learning–derived retinal age gap and its associations with lifestyle, systemic, and ocular health in a health screening cohort
- AI-DRIVEN OCULOMICS: RETINAL IMAGING BIOMARKERS FOR SYSTEMIC DISEASE - FROM CARDIOVASCULAR RISK TO NEURODEGENERATION AND FOUNDATION MODELS
- Explainable Multimodal OCT and OCTA Analysis Reveals Structural and Vascular Features of Mild Glaucoma Across Ethnicities
- Generalisation of a deep learning-based exophthalmometry system using facial photographs for non-thyroidal orbital disease
- Evaluating an AI-assisted triage workflow for retinal diseases
- Improved Estimation of Rates of Glaucoma Progression Using Spatial Two-Fold Linear Mixed Models
- Adaptive Optics Image Analysis Using Generative AI (GPT-4) Scripting: Exploratory Study
- A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction
- Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions
- CRISP: Corneal Confocal Microscopy Real-Time Image Stitching Pipeline
- Performance of AI-based diabetic retinopathy screening is highly dependent on evaluation setting: a five-year, multi-framework study
- Pentacam multimodal topography-based radiomics for early keratoconus screening and staging
- Smartphone-Based Automated Quantification of Bulbar Conjunctival Hyperemia Using Vessel Density Mapping
- Diabetic retinopathy screening using artificial intelligence: a comprehensive performance comparison on datasets from diverse populations and imaging modalities
- Artificial Intelligence for Diabetic Retinopathy
- Modular multi-task deep learning framework for prediction of treatment initiation in neovascular age-related macular degeneration modular AI for NVAMD treatment initiation study-MANTIS
- Correcting Axial Length‐Related Magnification Errors in Optical Coherence Tomography Angiography Improves Machine Learning Classification Performance in High Myopia
- A Review of the Use of Artificial Intelligence in Ophthalmology Imaging: Approximation to Ocular Histopathology
- Volumetric reference data of the orbit: a deep learning MRI analysis in the German national cohort