Artificial intelligence: the unstoppable revolution in ophthalmology
Author:
Publisher
Elsevier BV
Subject
Ophthalmology
Reference84 articles.
1. Global prevalence of diabetic retinopathy: protocol for a systematic review and meta-analysis;Cheloni;BMJ Open,2019
2. An evaluation system of fundus photograph-based intelligent diagnostic technology for diabetic retinopathy and applicability for research;Yang;Diabetes Ther,2019
3. Retinopathy of prematurity: evolving treatment with anti-vascular endothelial growth factor;Hartnett;Am J Ophthalmol,2020
4. Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning;Varadarajan;Nat Commun,2020
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1. Diagnostic capabilities of ChatGPT in ophthalmology;Graefe's Archive for Clinical and Experimental Ophthalmology;2024-01-06
2. Effect of simulated cataract on the accuracy of artificial intelligence in detecting diabetic retinopathy in color fundus photos;Indian Journal of Ophthalmology;2023-12-22
3. Artificial intelligence in retinal imaging: current status and future prospects;Expert Review of Medical Devices;2023-12-18
4. Identification of novel biomarkers for retinopathy of prematurity in preterm infants by use of innovative technologies and artificial intelligence;Progress in Retinal and Eye Research;2023-11
5. Advances in Artificial Intelligence Chatbot Technology in Ophthalmology;JAMA Ophthalmology;2023-11-01
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