Once the training was completed, it was tested and validated to detect the said eye conditions using separate datasets, including 10 external datasets from multi-ethnic populations across different countries. The 30 co-investigators used the world’s first and largest dataset consisting of nearly 500,000 retinal images to evaluate the use of the DLS.

Once the training was completed, it was tested and validated to detect the said eye conditions using separate datasets, including 10 external datasets from multi-ethnic populations across different countries. The 30 co-investigators used the world’s first and largest dataset consisting of nearly 500,000 retinal images to evaluate the use of the DLS.