From Forbes, an early look at a very promising diagnostic tool.

In one of the latest efforts to find signs of disease through that window, scientists from the University of Florida have tested a new technique using machine learning to identify patients with Parkinson’s disease from images of their retinas. The findings, presented this week at the annual meeting of the Radiological Society of North America, show that machine learning algorithms can be useful in identifying patients with Parkinson’s, picking out signs of disease in images of the small blood vessels of the retina.

As with so many neurodegenerative conditions, just diagnosing it is often a huge hurdle. A typical diagnosis requires 3-5 different radiological scans, multiple cognitive & neurophysical evaluations and even a psych screening. Replacing that with an AI-evaluated eye exam could revolutionize treatment of the disease.

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