Performance of artificial intelligence for the detection of pathological myopia from colour fundus images: a systematic review and meta-analysis.
Jai PrasharNicole TayPublished in: Eye (London, England) (2023)
This systematic review and meta-analysis provides robust early evidence that AI-based, particularly deep-learning based, diagnostic tools are a highly specific and sensitive modality for the detection of PM. There is potential for such tools to be incorporated into ophthalmic public health screening programmes, particularly in resource-poor areas with a substantial prevalence of high myopia.
Keyphrases
- artificial intelligence
- deep learning
- public health
- big data
- machine learning
- convolutional neural network
- loop mediated isothermal amplification
- label free
- real time pcr
- risk factors
- optic nerve
- air pollution
- heavy metals
- diabetic retinopathy
- polycyclic aromatic hydrocarbons
- climate change
- sensitive detection
- human health
- water soluble