| AI | artificial intelligence |
| DR | diabetic retinopathy |
| AMD | age-related macular degeneration |
| OCT | optical coherence tomography |
| ML | machine learning |
| DL | deep learning |
| ANNs | artificial neural networks |
| ROP | retinopathy of prematurity |
| ROC | receiver operating characteristic |
| AREDS | Age-Related Eye Disease Study |
| ChatGPT | Chat-Generative Pre-Trained Transformer |
| IOP | intraocular pressure |
| FDA | Food and Drug Administration |
| DM | diabetes mellitus |
| IDP | Iowa Detection Program |
| AUC | area under the curve |
| RMDA | rod-mediated dark adaptation |
| MAE | mean absolute error |
| OCTA | OCT angiography |
| GA | geographic atrophy |
| MNV | macular neovascularization |
| RNN | recursive neural network |
| IVIs | intravitreal injections |
| RVO | Retinal vein occlusion |
| BRVO | retinal vein occlusion |
| CRVO | central retinal vein occlusion |
| CFPs | color fundus photographs |
| NPA | nonperfused areas |
| DNN | deep convolutional neural network |
| SVM | support vector machines |
| CDS | clinical decision support |