“To screen for diabetic retinopathy health professionals take pictures of the rear interior wall of the eye, known as the fundus.

Currently, interpreting fundus images manually is ‘a lot of repetitive work’, Dr Channa says. But some think that artificial intelligence (AI) could speed up the process and make it cheaper.

Diabetic retinopathy develops in fairly clear stages, which means that AI can be trained to pick it up. In some cases, AI could decide whether a referral to an eye specialist is needed, or work in tandem with human image graders.

One such system was developed by the health technology company Retmarker, based in Portugal. Its system identifies fundus images that could be problematic and sends them to a human expert for further investigation…

Independent studies have suggested that systems like Retmarker Screening and Eyenuk’s EyeArt have acceptable rates of sensitivity and specificity.”

From BBC.