Artificial intelligence in age-related macular degeneration: Advancing diagnosis, prognosis, and treatment
Authors:
- Euna LeeELEuna Lee
- David HuntDHDavid Hunt
- Yavuz CakirYCYavuz Cakir
- David KuoDKDavid Kuo
- Ziqi ZhouZZZiqi Zhou
- Miroslav PajicMPMiroslav Pajic
- Majda HadziahmetovicMHMajda Hadziahmetovic
- 21 September 2025
- journal article
- Published by Elsevier in Survey of Ophthalmology
- Vol. 71 (2) , 560-571
Abstract
No abstract availableFunding Information
- National Institutes of Health (R21EY033480)
This publication has 59 references indexed in Scilit:
- A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence TomographyJAMA Ophthalmology, 2023
- Automated diagnosis of age‐related macular degeneration using multi‐modal vertical plane feature fusion via deep learningMedical Physics, 2022
- Evaluating an automated machine learning model that predicts visual acuity outcomes in patients with neovascular age-related macular degenerationGraefe's Archive for Clinical and Experimental Ophthalmology, 2022
- Smart AMD prognosis through cellphone: an innovative localized AI-based prediction system for anti-VEGF treatment prognosis in nonagenarians and centenariansInternational Ophthalmology, 2022
- Optical coherence tomography-based short-term effect prediction of anti-vascular endothelial growth factor treatment in neovascular age-related macular degeneration using sensitive structure guided networkGraefe's Archive for Clinical and Experimental Ophthalmology, 2021
- Visualizing and understanding inherent features in SD‐OCT for the progression of age‐related macular degeneration using deconvolutional neural networksApplied AI Letters, 2020
- Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration ChangesOphthalmology and Therapy, 2019
- Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular DegenerationJAMA Ophthalmology, 2018
- Utility of Deep Learning Methods for Referability Classification of Age-Related Macular DegenerationJAMA Ophthalmology, 2018
- Visualizing and Understanding Convolutional Networks2014