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Its system identifies fundus images that could be problematic and sends them to a human expert for further investigation.

Fundus autofluorescence is a non-invasive method for imaging the fundus of the eye.

Initial results suggest that computer algorithms are able to use these fundus images to distinguish Parkinson’s patients from healthy controls with an accuracy upward of 70 percent.

Two images of the fundus, or interior rear of your eye.

Finding out the gene mutation doesn't change anything, other than learning his problem has a name: fundus albipunctatus.