Automated early detection of acute retinal necrosis from ultra-widefield color fundus photography using deep learning.
Yuqin WangZijian YangXingneng GuoWang JinDan LinAnying ChenMeng ZhouPublished in: Eye and vision (London, England) (2024)
Our study demonstrates the feasibility of deep learning algorithms in enabling early detection, reducing treatment delays, and improving outcomes for ARN patients.
Keyphrases
- deep learning
- machine learning
- artificial intelligence
- end stage renal disease
- convolutional neural network
- ejection fraction
- diabetic retinopathy
- chronic kidney disease
- newly diagnosed
- liver failure
- peritoneal dialysis
- high resolution
- optical coherence tomography
- type diabetes
- respiratory failure
- high throughput
- prognostic factors
- adipose tissue
- patient reported outcomes
- drug induced
- combination therapy
- insulin resistance
- single cell
- smoking cessation
- glycemic control