Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects.
Ahnul HaSukkyu SunYoung Kook KimJin Wook JeoungHee Chan KimKi Ho ParkPublished in: The British journal of ophthalmology (2023)
DL models, trained with both fundus images and clinical data, showed the potential to predict whether and when normotensive GS patients will show conversion to NTG.
Keyphrases
- deep learning
- end stage renal disease
- newly diagnosed
- ejection fraction
- convolutional neural network
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- artificial intelligence
- machine learning
- electronic health record
- optical coherence tomography
- diabetic retinopathy
- patient reported outcomes
- patient reported