Artificial intelligence could be harnessed to diagnose refractive error from retinal fundus images.
Researchers trained an algorithm to predict refractive error with high accuracy from a total of 226,870 retinal fundus images, and validated it on two datasets: UK Biobank and the US Age-Related Eye Disease Study (AREDS).
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Glaucoma is the second leading cause of irreversible sight loss in the UK and affects over one million people, which is predicted to rise by 100,000 cases to 1.145 million people by 2030*.
New cross-sector Eye Care Interoperability Steering Group has been formed to spearhead the development and implementation of common standards for eye care images in the UK.
