AI supports instant diagnosis of top eye disease

Artificial intelligence is being used to support the instant diagnosis of diabetic retinopathy, one of the top causes of blindness, in its earliest stages.

The diabetic-related eye disease is the leading cause of vision loss in adults and its impact is growing worldwide, with 191 million people set to be affected by 2030.
Now a team of Australian–Brazilian researchers led by RMIT University have developed an image-processing algorithm that can automatically detect one of the key signs of the disease, fluid on the retina, with an accuracy rate of 98%.

Read more here at Hospital and Healthcare.