February 2, 2017
(Smithsonian) – These researchers aim to fix that preventable treatment gap by using eagle-eyed AI. The researchers outline an artificial intelligence program that can diagnose congenital cataracts more accurately than human doctors, and report that the data it collects could help spur new research on how to treat this rare disease. Aging is the most common cause of cataracts, but roughly 5 to 20 percent of childhood blindness is caused by congenital cataracts. Though the disease is curable with surgery, if not fixed soon enough, it can lead to lazy eye as the brain and eye don’t work properly together while the child grows. In China, roughly 30 percent of childhood blindness is due to this form of the disease.
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