Researchers from the Byers Eye Institute at Stanford University are using artificial intelligence (AI) to create an automated algorithm to detect diabetic retinopathy (DR).
Investigators were reportedly able to show that an AI-based grading algorithm could be used to identify, with high reliability, which patients should be referred to an ophthalmologist for further evaluation and treatment. The algorithm developed by researchers was reportedly able to identify all disease stages, from mild to severe, with an accuracy rate of 94 percent.
If properly implemented globally, researchers believe their algorithm has the potential to reduce the workload on doctors and increase the efficiency of limited healthcare resources.
The study was recently published online in Ophthalmology, the journal of the American Academy of Ophthalmology.
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Source: American Academy of Ophthalmology