According to foreign media reports, Google is preparing to do a large-scale experiment using machine learning to expand medical health. If successful, it will help protect millions of people with diabetes from complications such as blindness.

Last year, Google researchers announced that they were training image recognition algorithms to detect eye diseases associated with diabetes. The software developed to examine the patient's retina photographs reveals tiny aneurysms, an early stage of diabetic retinopathy ("sugar net disease") that can lead to blindness if left untreated.

In the "WIRED Business Conference 2017" a few days ago, a Google project leader said that the technology is beginning to be applied to some eye hospitals in India. Lily Peng, product manager for the AI ​​research team at Google Medical Brain, said that India is one of the world's most lacking ophthalmologists, which means that many people with diabetes do not have good annual screening for sugar net disease.

"Blind blindness caused by sugar net disease is completely preventable, but because people can't screen early, half of them have lost sight before detecting the lesion." She described the current state of India. "And the promise of this technology is to make medical health more accessible." It is understood that there are currently more than 400 million people with diabetes worldwide, including about 110 million patients in China and about 70 million in India.

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