Now, AI can detect cause of child blindness more accurately than doctors

A new artificial-intelligence (AI) engine developed by Oregon Health and Science University can detect the cause of blindness in babies more accurately than doctors, in a step that promises automation of tasks often held back by shortage of qualified professionals. By reading images of eyes, the AI engine was able to diagnose the causes of blindness in babies with 91% accuracy, said the report by news agency IANS. For comparison, a team of doctors was only 82% accurate. "There's a huge shortage of ophthalmologists trained and willing to diagnose retinopathy of prematurity (RoP). This creates enormous gaps in care, even in the US, and sadly leads to many children around the world going undiagnosed," said co-lead researcher Michael Chiang at Oregon Health and Science University in the report.