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
- diabetic retinopathy
- ejection fraction
- chronic kidney disease
- newly diagnosed
- liver failure
- high resolution
- prognostic factors
- optical coherence tomography
- intensive care unit
- patient reported outcomes
- mass spectrometry
- metabolic syndrome
- hepatitis b virus
- high throughput
- insulin resistance
- combination therapy
- single cell
- acute respiratory distress syndrome
- smoking cessation
- optic nerve