Artificial Intelligence and Imaging Processing in Optical Coherence Tomography and Digital Images in Uveitis.
María AbellanasMaría José ElenaPearse A KeaneKonstantinos BalaskasDilraj S GrewalEster CarreñoPublished in: Ocular immunology and inflammation (2022)
The automatising of image processing in uveitis could be fundamental to establish objective and standardised outcomes for future clinical trials. In addition, it could help to better understand the disease and its progression.
Keyphrases
- artificial intelligence
- deep learning
- optical coherence tomography
- juvenile idiopathic arthritis
- clinical trial
- ankylosing spondylitis
- big data
- machine learning
- convolutional neural network
- high resolution
- diabetic retinopathy
- current status
- phase ii
- rheumatoid arthritis
- type diabetes
- metabolic syndrome
- optic nerve
- fluorescence imaging
- skeletal muscle
- study protocol
- glycemic control
- open label