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
- end stage renal disease
- artificial intelligence
- convolutional neural network
- diabetic retinopathy
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- optical coherence tomography
- liver failure
- metabolic syndrome
- high throughput
- mass spectrometry
- intensive care unit
- drug induced
- patient reported outcomes
- insulin resistance
- mechanical ventilation
- skeletal muscle
- combination therapy
- hepatitis b virus
- acute respiratory distress syndrome
- patient reported